1563 Predictive Modeling Jobs - Page 6

As a Data Scientist at the Global Design Technology Studio within Gensler, you will play a crucial role in driving innovative solutions that connect data and outcomes from designs to practitioners, projects, and clients. You will be part of a dynamic team that fosters creativity and collaboration to identify trends, insights, and opportunities for improvement through the analysis, synthesis, and assessment of large datasets. Your responsibilities will include collaborating with the Data team to develop, train, and deploy ML classification algorithms using data from design authoring tools, exploring trends and defining insights aligned with business needs, developing data pipelines in MS Azure, researching and implementing the integration of additional datasets, and supporting the R&D of future Strategic Insights initiatives. To excel in this role, you are required to have a Bachelor's or Masters degree in Data Science, Statistics, Applied Math, or Computer Science, along with practical experience in statistical analysis, machine learning, and predictive modeling. Proficiency in Azure services like Azure Machine Learning, Azure Databricks, and Azure Data Factory, as well as programming languages such as SQL, Python, and R, is essential. Experience with data visualization tools like PowerBI, machine learning technologies, and generative AI models is highly beneficial. Gensler is a people-first organization that values work-life balance and professional development. As part of the team, you will have access to comprehensive benefits, wellness programs, and opportunities for growth and development. Join us in transforming the digital landscape of design technology and making a real impact with your skills and expertise.,

As a Data Scientist, you will be responsible for managing end-to-end delivery of data science projects. You will develop and validate predictive models using analytical tools and collaborate with the BD team, product managers, data engineers, and other teams to deploy analytical solutions. Supporting internal teams in developing in-house products and analytical solutions will also be a key part of your role. You will work on building models for descriptive and predictive analytics, exploring various areas such as natural language understanding, conversational AI, forecasting, and automation. Additionally, you will provide expertise in data wrangling, exploratory data analysis, and feature engineering with large data sets, as well as support the development of proofs of concept to demonstrate the application of analytical capabilities in solving customer problems in collaboration with product and other development teams. Aligning the technology solution with business goals is also a crucial aspect of this role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or other quantitative fields. Familiarity with Agile methodologies and software development project management is required. Excellent written and verbal communication skills are essential, with experience in presenting complex technical information to non-technical audiences. Demonstrated flexibility, creativity, and patience in adapting to new situations and changing needs are also valued qualities. In terms of skills, you should have proven abilities in translating analytics output into actionable recommendations and delivering them to key stakeholders. Experience in extracting and aggregating data from large datasets, understanding and analyzing data using statistical software (e.g., Python, R, SQL, PySpark, etc.), and proficiency in Excel, PowerPoint, and BI tools such as Tableau and PowerBI are necessary. You will be expected to assess the effectiveness and accuracy of new data sources and data gathering techniques, develop custom data models and algorithms, and use predictive modeling to optimize customer experiences, revenue generation, data insights, and other business outcomes. Creating processes and tools to monitor and analyze model performance and data accuracy, partnering with key stakeholders/clients to understand problem statements, convincing them with data, and deriving relevant insights are also key responsibilities. Developing visualizations to make complex analyses accessible to a broad audience, demonstrating leadership and stakeholder management skills, maintaining high attention to detail and quality, and being highly adaptive and comfortable working within a complex environment are additional attributes that will contribute to your success in this role.,

Intelligence Node is a real-time retail intelligence platform that enables businesses to enhance product-level profitability and boost margins by leveraging data-driven competitive insights. The cutting-edge technology of Intelligence Node employs AI to analyze billions of data points across 1,900 retail categories in 34 global markets. The business model of Intelligence Node offers a comprehensive suite of solutions, including product matching, digital shelf analytics, assortment & availability, pricing & promotions, and brand compliance. These solutions aid retailers and brands in making strategic and operational decisions. With a patented product matching engine and proprietary AI, Intelligence Node ensures 99% data accuracy and 10-second data refresh rates. Following its acquisition by Interpublic Group (IPG) in December 2024, Intelligence Node collaborates with IPG to provide a future-ready combined solution to companies navigating the complexities of the current commerce landscape. Together with IPG, Intelligence Node delivers comprehensive data, advanced analytics, and strategic expertise to help enterprise brands and retailers secure market share and drive sustainable growth. **Junior Data Scientist** As a Junior Data Scientist at Intelligence Node, you will collaborate closely with senior data scientists and business stakeholders to discover data-driven insights and opportunities in the retail sector. Your responsibilities will involve analyzing retail data sets using statistical techniques and machine learning algorithms, developing predictive models to support business decisions, and implementing data pipelines for processing and preparation. Additionally, you will support the creation of reports and dashboards to visualize and communicate data insights. Staying updated with the latest developments in data science and retail analytics is a key aspect of this role. **Required Skill Set** - Minimum of 2-3 years of experience in Data Science - Proficiency in Python and data science libraries such as NumPy, Pandas, and Scikit-learn - Strong understanding of statistical techniques and their applications in the retail sector **Senior Data Scientist** In the role of Senior Data Scientist at Intelligence Node, you will lead a team of data scientists and work closely with key business stakeholders to develop advanced machine learning models and neural networks for solving complex problems in the retail and e-commerce domains. Your responsibilities will include experimenting with Large Language Models (LLMs), designing scalable data pipelines, mentoring junior data scientists, and deploying predictive models into production. **Required Skill Set** - 7-10 years of experience in Data Science - Proficiency in Python or C++ - Deep understanding of BERT, transformers, and advanced machine learning architectures - Expertise in computer vision techniques and applications such as visual transformers and OCR - Curiosity to explore LLMs and their applications - Extensive retail and e-commerce experience preferred - PhD in a related field preferred Interested candidates are encouraged to share their updated CVs at a.vernekar@intelligencenode.com along with their current remuneration details. Candidates from Mumbai are preferred for this role.,

As a Senior Data Analyst at Gibbous Technologies, a data analytics consulting firm specializing in sports business analytics and advanced business intelligence solutions, you will be responsible for leading analytics projects, mentoring junior analysts, and collaborating closely with clients to deliver tailored solutions. Your role will involve designing, executing, and delivering analytics projects from data collection to visualization, conducting deep-dive analyses to identify trends and actionable insights, and developing dashboards, reports, and data models to support decision-making. You will work with stakeholders to translate business questions into analytical problems and solutions, ensure data quality, integrity, and compliance with best practices, and collaborate with cross-functional teams to integrate analytics into business workflows. Additionally, you will mentor and guide junior analysts in technical skills and analytical approaches, leveraging your strong analytical expertise, passion for data storytelling, and experience with diverse datasets to deliver impactful insights for clients. The ideal candidate for this role will have a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field, along with 4+ years of professional experience in data analytics, preferably in consulting or business intelligence roles. Proficiency in SQL and at least one analytics-oriented programming language (Python/R), experience with data visualization tools (e.g., Power BI, Tableau, Looker), and a solid understanding of statistical analysis, hypothesis testing, and predictive modeling are required. Excellent communication and presentation skills, the ability to simplify complex findings, and proven leadership in analytics initiatives are also essential. Preferred qualifications for this role include experience in sports analytics or business analytics for enterprises, knowledge of cloud-based data platforms (Snowflake, BigQuery, AWS Redshift, etc.), and familiarity with ETL processes and data pipeline development. In return, Gibbous Technologies offers a competitive salary based on experience and expertise, the opportunity to work on diverse and impactful projects, a collaborative and innovation-driven work culture, and professional growth and learning opportunities. To apply for the Senior Data Analyst position in Nagpur at Gibbous Technologies, please send your resume and a brief cover letter to shreyas@gibbous.io with the subject line: Application Senior Data Analyst (Nagpur). Join our team and be part of a dynamic environment where you can make a significant impact through data analytics and business intelligence.,

We are looking for a skilled and enthusiastic Artificial Intelligence / Machine Learning Engineer with at least 2 years of experience to become a part of our vibrant team. The perfect candidate will possess a solid foundation in machine learning algorithms, data analysis, and software development. You will be involved in cutting-edge projects that utilize AI and ML to create business solutions and enhance our product offerings. Responsibilities: - Design, create, and deploy machine learning models and algorithms to address intricate challenges. - Analyze and preprocess extensive datasets to extract valuable insights and enhance model efficacy. - Collaborate with diverse teams to identify possibilities for AI/ML applications in different business domains. - Assess and refine existing models by integrating new data and methodologies. - Keep abreast of the latest advancements in AI and machine learning technologies and techniques. - Document procedures, generate technical specifications, and present discoveries to stakeholders. - Support in guiding junior team members and contribute to a cooperative team atmosphere. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a relevant field. - 2+ years of experience in machine learning, data analysis, or a related area. - Proficiency in programming languages like Python, R, or Java. - Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Sound understanding of statistical analysis, data mining, and predictive modeling approaches. - Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau). - Awareness of databases and data processing technologies (e.g., SQL, Hadoop, Spark) is a bonus. - Excellent problem-solving abilities and capability to work both independently and in a team. - Effective communication skills to convey technical ideas to non-technical stakeholders. Preferred Qualifications: - Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ML models. - Understanding of natural language processing (NLP) or computer vision techniques. - Knowledge of software development practices, including version control and agile methodologies.,

Citi's mission is to serve as a trusted partner to clients by responsibly providing financial services that enable growth and economic progress. With over 200 years of experience, Citi helps clients meet challenges and seize opportunities. Analytics and Information Management (AIM) at Citi was established in 2003 and is located in multiple cities in India including Bengaluru, Chennai, Pune, and Mumbai. The AIM community connects and analyzes information to create actionable intelligence for business leaders, identifying revenue growth opportunities in partnership with businesses through analytic methodologies. The North America Consumer Bank Data Science and Modeling team uses big data tools and machine learning techniques to analyze millions of prospects and billions of customer transactions. The team extracts insights, identifies opportunities, builds predictive models, and designs strategies for various business problems. The Business Analytics Analyst 1 role within the Model governance area of the North America Consumer Bank team is responsible for ensuring comprehensive and regulatory-compliant documentation of financial models used in the bank. The Next Gen Analytics (NGA) team, a part of the AIM unit, focuses on detailed model governance work. The role requires attention to detail, effective collaboration with various stakeholders, a statistical mindset, strong communication skills, a sense of ownership for project delivery, and continuous process enhancement for efficiency and consistency. The Business Analytics Analyst 1 is responsible for creating, updating, and maintaining detailed documentation related to model monitoring and review processes, ensuring compliance with Citi standards and providing guidance on governance best practices. The role involves overseeing model inventory, working with large and complex data sets using tools like Python, PySpark, SQL, SAS, and R, collaborating with other teams within the organization, and ensuring quality control over deliverables. Candidates should have a Bachelor's or Master's degree in a relevant field, 1-3 years of experience in data analytics, technical skills in programming and data analysis, familiarity with model risk management and fair lending laws, and the ability to handle multiple projects simultaneously. Key requirements include hands-on experience in data analytics tools, understanding of model risk regulations, proficiency in statistical analysis and modeling techniques, capability to maintain models in production, strong communication and project management skills, and a detail-oriented and self-motivated approach. Experience in Credit Cards and Retail Banking is preferred. A Bachelor's or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a reputable institute is required. The role is full-time in the Credit Cards, Retail Banking, Financial Services, Banking industry.,

We are looking for a highly skilled Technical Data Analyst to join our growing team. As a Technical Data Analyst, you will need to have a strong technical foundation in Oracle PL/SQL and Python, along with expertise in data analysis tools and techniques. The ideal candidate should be a strategic thinker with the ability to lead and mentor a team of data analysts, driving data-driven insights and contributing to key business decisions. You will also be responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects. Your responsibilities will include designing, developing, and maintaining complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes. You will use Python scripting for data analysis, automation, and reporting. Performing in-depth data analysis to identify trends, patterns, and anomalies to provide actionable insights for improving business performance will also be part of your role. Collaboration with cross-functional teams to understand business requirements and translating them into technical specifications is crucial. You will develop and maintain data quality standards and ensure data integrity across various systems. Additionally, you will leverage data analysis and visualization tools such as Tableau, Power BI, and Qlik Sense to create interactive dashboards and reports for business stakeholders. Staying up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements, will be essential. Researching and evaluating emerging AI/ML tools and techniques for potential application in data analysis projects will also be part of your responsibilities. Preferred qualifications for this role include hands-on work experience as a Technical Data Analyst with expertise in Oracle PL/SQL and Python programming, proficiency in Python scripting for data analysis and automation, expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense, awareness and understanding of AI/ML tools and techniques in data analytics, and practical experience applying AI/ML techniques in data analysis projects. Strong analytical, problem-solving, communication, and interpersonal skills are required, along with experience in the financial services industry. Qualifications for this position include 0-2 years of relevant experience, experience in programming/debugging used in business applications, working knowledge of industry practice and standards, comprehensive knowledge of a specific business area for application development, working knowledge of program languages, and consistently demonstrating clear and concise written and verbal communication. Education requirement for this position is a Bachelor's degree/University degree or equivalent experience. Please note that this job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required.,

The Legal Analytics lead (Vice President) at AIM, based in Gurugram, reports to the Legal Analytics head (Senior Vice President) and is responsible for leading a team of statisticians and Data Science experts. The primary responsibilities include Model Development, Validation, Governance, and Documentation, ensuring quality, reliability, and usability of work products. It involves evaluating and refining statistical methods and procedures for data validity, applicability, efficiency, and accuracy. Ensuring proper documentation of all project work and responding to Internal Audit, Compliance Testing, and Regulators questions are critical aspects of the role. The Specialized Analytics Sr. Mgr manages professional teams and departments, integrating subject matter and industry expertise. The role requires in-depth understanding of how areas collectively integrate within the sub-function, contributing to standards and objectives of the entire function. Communication and diplomacy skills are essential to guide, influence, and convince others. Responsibilities include volume, quality, timeliness, and delivery of end results, along with planning, budgeting, and policy formulation within the area of expertise. Full management responsibility of a team involves performance evaluation, compensation, hiring, and budget approval. Responsibilities of the role include supporting model validation process for Model Risk Management, developing and implementing automated solutions for managing increasing model volumes, overseeing predictive model and machine learning algorithm development, and documenting data requirements and data analysis. The role also involves interfacing between business and technology partners, offering technical guidance, communicating findings to senior management, and ensuring compliance with data governance policies and regulatory requirements. The ideal candidate should have 10-15 years of experience in Data Science roles with a strong understanding of statistical modeling, machine learning, and data mining techniques. The ability to translate complex data into actionable insights, interact with senior stakeholders, manage end-to-end implementation of data science solutions, and lead a team effectively are crucial. In-depth knowledge of financial service business models, proficiency in advanced statistical techniques, creative problem-solving skills, and excellent communication skills are essential for this role. Education requirements include a Bachelors or Masters degree in STEM, with a preference for a Masters degree. The role falls under the Decision Management job family group, specifically within the Specialized Analytics (Data Science/Computational Statistics) job family. This is a full-time position at Citigroup. If you are a person with a disability and require reasonable accommodation to apply for a career opportunity, review Accessibility at Citi. You can also view Citigroup's EEO Policy Statement and the Know Your Rights poster.,

You are a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience, seeking to join a dynamic team that values AI/ML analytics expertise. Your strong background in leveraging data for driving business insights and innovation will be key to your success in this role. Your responsibilities will include developing and implementing machine learning models and algorithms, collaborating closely with project stakeholders to understand requirements and translate them into deliverables. You will utilize statistical and machine learning techniques to analyze and interpret complex data sets, while staying updated with the latest advancements in AI/ML technologies and methodologies. Collaboration with cross-functional teams to support various AI/ML initiatives will also be a crucial aspect of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required for this position. Preferred skills for this role include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision (YOLO), Deep Learning stack, NLP using Python. Additionally, you should have strong knowledge and experience in Generative AI/LLM based development and working with key LLM models APIs and frameworks. Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure is preferred. Expertise in building secure data ingestion pipelines for unstructured data, effective text chunking techniques, and working with text embeddings is crucial for this role. Proficiency in Python, TypeScript, NodeJS, ReactJS and their frameworks, as well as experience with data visualization tools and deep learning frameworks, is required. Knowledge of version control systems and good to have skills in building knowledge graphs and multi-agent systems will be beneficial for this position. Pentair is an Equal Opportunity Employer that values diversity and believes in the importance of a diverse workforce for continued success. Your cross-cultural insight and competence will be essential for contributing different perspectives and creative ideas to drive continuous improvement within the organization.,

As a Manager within the Data Science function at MX, you will lead a team of advanced analytics professionals to leverage a world-class financial data asset for performing in-depth consumer-level analytics, leading big data research projects, enhancing overall system accuracy, designing and executing operational tests, and automating repetitive tasks. Your role will involve overseeing the design and execution of operational tests, providing recommendations based on careful analysis and business acumen, and demonstrating superior problem-solving skills. You will be responsible for building, developing, and managing a high-performing team of 3-8 data scientists and analysts. Your focus will be on coaching and mentorship to enhance analytical best practices, data visualization, storytelling, and personal career development. Leading modelling projects, operational tests, data mining, and exploratory work will also be part of your duties. Additionally, you will translate unstructured business problems into well-defined analytic projects and provide analytic leadership within the MX community. To qualify for this role, you should hold a Master's degree (Ph.D. preferred) in a quantitative discipline with significant coursework in statistics or econometrics. Previous experience in building predictive models and managing analytic teams is preferred. Strong knowledge of structured programming languages, database query languages, statistical modeling, and machine learning approaches is required. Critical thinking skills, intellectual curiosity, and a drive to tackle demanding goals are essential qualities for this position. This role will require you to work in the office for a standard 40-hour workweek to facilitate collaboration, communication, quick decision-making, and spontaneous collaboration among team members. The compensation for this role will include a base salary and other forms of cash compensation. Please note that applicants applying for this position must have the legal right to work in India without the need for sponsorship. Proof of eligibility to work in India will be required as part of the hiring process.,

The role of AI Architect is open for PAN India and welcomes applicants who are interested in revolutionizing HR operations within a fast-paced IT services environment. As an AI Architect, you will play a pivotal role in designing and implementing AI-driven solutions that enhance various HR capabilities. Your expertise will be crucial in integrating AI tools into enterprise platforms, developing predictive models, implementing automation solutions, and ensuring compliance with data privacy regulations. Additionally, you will be responsible for evaluating emerging AI technologies, driving scalability and optimization of AI models, and contributing to the continuous improvement of HR operations. As an AI Architect, your key responsibilities will include: - Architecting intelligent systems to improve HR functions such as talent acquisition, workforce planning, employee engagement, and learning & development. - Collaborating with HR, IT, and data teams to integrate AI tools into enterprise platforms like Workday, SAP SuccessFactors, Oracle HCM, and ServiceNow. - Leading the development of predictive models for attrition prediction, talent matching, career pathing, and performance forecasting. - Implementing intelligent automation solutions such as resume parsing, chatbot-based onboarding, and personalized employee experiences. - Ensuring AI solutions comply with global data privacy and ethical standards, focusing on responsible AI practices. - Evaluating emerging AI technologies and recommending adoption strategies for HR transformation. - Driving scalability and optimization of AI models in multi-client, service-based HR environments. The ideal candidate for this role should possess: - A Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. - 11+ years of experience in AI/ML systems development or architecture, with exposure to enterprise transformation initiatives. - Strong understanding of HR operations and challenges in global workforce management. - Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI/ML frameworks. - Familiarity with HR systems and APIs, such as Workday, SAP, Oracle, and ServiceNow. Preferred qualifications for this role include: - Experience with AI applications in recruitment, learning, performance management, or employee experience. - Knowledge of ethical AI practices, bias mitigation, and responsible data usage in workforce analytics. - Certifications in AI/ML or HR analytics, such as Microsoft AI Engineer, SHRM-CP, or PHR. Join us as an AI Architect to drive innovation at the intersection of AI and HR transformation, lead digital HR initiatives, and be a part of a collaborative culture with access to cutting-edge technologies and thought leadership.,

As a Senior Data Scientist at EY, you will have the opportunity to shape your future with confidence by being part of a globally connected powerhouse of diverse teams. Your role will involve leveraging your expertise to take your career wherever you aspire it to go and contribute towards building a better working world. To qualify for this role, you should possess a Bachelor's or Master's degree in Mathematics, Computer Science, Engineering, or related disciplines, along with 4+ years of hands-on Data Science experience. Your proven track record of successfully deploying projects to production, coupled with excellent problem-solving and data analysis skills, predictive modeling expertise, statistical knowledge, and proficiency in machine learning algorithms will be essential. You must demonstrate strong coding skills in Python and flexibility in other languages like R. Experience in creating impactful visualizations using tools such as Plotly, Power BI, and Tableau, as well as familiarity with SQL and relational databases, will be advantageous. Knowledge of Generative AI techniques and frameworks like Ollama models, LangGraph, and LangChain will be a plus. As a Senior Data Scientist, you will be responsible for working independently or collaboratively to deliver end-to-end data science projects within specified timelines and budgets. Your role will involve analyzing complex data sets, identifying trends and insights, and presenting findings to stakeholders using data visualization tools. You will also need to select appropriate machine learning algorithms to solve business problems, design experiments, and manage data for ML projects. Collaboration with team members, adherence to industry best practices, staying updated with the latest machine learning research, and mentoring junior team members will be integral parts of your responsibilities. Additionally, you should be willing to travel to the MENA region based on business requirements. Join EY and be part of a team that is dedicated to building a better working world, creating new value for clients, people, society, and the planet. By harnessing the power of data, AI, and advanced technology, EY teams help clients shape the future with confidence and address the most critical challenges of today and tomorrow. With a focus on assurance, consulting, tax, strategy, and transactions, EY offers services globally, supported by sector insights, a diverse network, and ecosystem partners across 150+ countries and territories.,

The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics is actively involved in helping Fortune 500 companies leverage their data using advanced AI/ML algorithms. We are currently seeking Data Scientists with a passion for independent statistical and machine learning research projects. If you are a problem solver with a curiosity for exploring new technologies in the AIML space, we would like to have a conversation with you. As a Data Scientist at Fractal Analytics, you will have the opportunity to work on a wide range of analytics and predictive modeling projects using Python, R, SQL, and Machine Learning techniques. The ideal candidate will have 5-11 years of experience in this field along with strong project management skills. Key Responsibilities: - Solve business problems by proposing creative solutions using statistical and advanced analytics methodologies - Lead client engagements independently, ensuring effective stakeholder management and project execution - Build deep client relationships and act as a thought partner, anticipating and delivering solutions to business problems - Support sales activities and contribute to account growth by identifying opportunities - Contribute to firm growth through training sessions and coaching team members - Coach and groom the team on analytics techniques, problem-solving, project management, and client relationship management The ideal candidate will have: - Minimum 7.6 to 10 years of overall experience with 4 to 8 years of hands-on experience in analytics projects - Expertise in statistical/ML predictive techniques such as regression - Strong project management, stakeholder management, and crisis handling skills - Team handling experience with a focus on problem-solving and creative thinking - Proficiency in Python, R, SQL, and advanced analytics/statistics techniques - Knowledge of data conversion strategy, data quality, and database management Education: - B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent If you are passionate about AI/ML, enjoy working with a team of over-achievers, and are looking for a challenging and rewarding career opportunity, we invite you to explore a career with us. Click "Introduce Yourself" or create an account to stay updated on future job postings.,

You are a professional with over 5 years of experience in data science, focusing on predictive modeling and optimization. Your expertise includes hands-on experience in Data Science on GCP, Generative AI fundamentals, and proficiency in Python (and/or R), SQL, and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. You have a strong understanding of Cloud Architecture and the deployment of data solutions in cloud ecosystems like Azure, GCP, and AWS. Additionally, you have experience in deploying ML models in production using tools like MLflow, Kubeflow, Docker, and Kubernetes. Your proven expertise encompasses machine learning, mathematical optimization, and NLP techniques, including LP, IP, genetic algorithms, RL, and familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. You also possess a strong grasp of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams are essential for this role. Your responsibilities in this role include writing and reviewing high-quality code, understanding clients" business use cases and technical requirements to translate them into technical designs, mapping decisions with requirements, identifying and narrowing down the best solutions, defining guidelines and benchmarks for NFR considerations during project implementation, writing design documents, reviewing architecture and design aspects, developing and designing solutions for functional and non-functional requirements, understanding technology integration scenarios, resolving issues raised during code/review through systematic analysis, and carrying out POCs to ensure suggested designs/technologies meet requirements. You hold a Bachelor's or Master's degree in computer science, Information Technology, or a related field.,

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. Interact with C-level at our clients on a regular basis to drive their business towards impactful change. Lead your team in creating new business solutions. Seize opportunities at the client and at Metyis in our entrepreneurial environment. Become part of a fast-growing international and diverse team. Lead and manage the delivery of complex data science projects, ensuring quality and timelines. Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions. Design solution architectures and guide the technical approach across projects. Align technical deliverables with business goals, ensuring data products create measurable business value. Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences. Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle. Collaborate with cross-functional teams to ensure smooth integration and deployment of solutions. Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI. 6+ years of experience in delivering full-lifecycle data science projects. Proven ability to lead cross-functional teams and manage client interactions independently. Strong business understanding with the ability to connect data science outputs to strategic business outcomes. Experience with stakeholder management, translating business questions into data science solutions. Track record of mentoring junior team members and creating a collaborative learning environment. Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability. Experience managing project roadmaps, resourcing, and client communication. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like Pandas and Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations. Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications. Core Competencies: Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. Hands-on experience with MLOps and model governance best practices in production environments. Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions. Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).,

As a Data Analyst at PureSpectrum, you will play a crucial role in conducting product-related analyses, generating reports, and deriving insights. You will operate within the Analytics and Data Science team, reporting directly to the VP Analytics and Data Science in a dynamic and fast-paced environment. The ideal candidate for this position is highly analytical, inquisitive, detail-oriented, and adept at collaborating with global stakeholders, technology partners, and vendors. Your primary responsibilities will include understanding business challenges, formulating and testing hypotheses utilizing appropriate statistical methods, and developing Proof-of-Concept (POC) models. You will be tasked with creating and refining predictive models to construct training datasets, as well as executing end-to-end projects that involve data mining, cleaning, inputting, and transforming from various databases. Collaborating with the engineering team, you will establish pipelines for collecting, storing, and retrieving training datasets. Furthermore, you will work closely with cross-functional teams to prioritize workflows, address data consistency and quality issues, and effectively communicate findings and analyses to technical and non-technical audiences. To qualify for this role, you should possess a Bachelor's degree with a minimum of 3 years of hands-on experience in Data Analysis, or a Master's Degree in Quantitative Economics with at least one year of relevant experience. Proficiency in big data environments like AWS, relational database management systems, and programming languages such as Python, R, and SAS is essential. Previous experience in report and dashboard design, API integrations, and familiarity with databases and BI tools like SQL, mongoDB, QuickSight, Tableau, and Microsoft Power BI will be advantageous. PureSpectrum offers a competitive compensation and benefits package that includes comprehensive health insurance, PF, and a leave policy compliant with statutory requirements. In addition, you will have the opportunity to participate in team events and celebrations, enjoy a casual dress code, and work in a professional yet enjoyable team environment.,

At Improzo, we believe in improving life by empowering our customers. Founded by seasoned industry leaders, we are dedicated to delivering quality-led commercial analytical solutions to our clients. Our team of experts in commercial data, technology, and operations is committed to evolving and learning together since our inception. At Improzo, you will have the opportunity to collaborate with brilliant minds, work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like yourself. Our success is driven by our CARE values framework, where we prioritize customer needs and outcomes, pursue bold and innovative avenues, foster a culture of collaboration and respect, and maintain a laser focus on quality-led execution. We are currently seeking a highly motivated RWE-HEOR-Patient Analytics Specialist at various levels to join our dynamic team. In this role, you will leverage Patient Analytics, Real-World Evidence (RWE), and Health Economics & Outcomes Research (HEOR) methodologies to drive impactful insights and support life sciences clients in optimizing patient outcomes, decoding patient journeys, and refining healthcare strategies. Your responsibilities will include leading patient journey analytics and segmentation, developing predictive patient models, analyzing patient-reported outcomes, integrating real-world data, conducting health economics evaluations, implementing advanced patient analytics solutions, engaging with clients to translate insights into actionable strategies, leading projects, mentoring team members, and contributing to thought leadership in patient analytics. Qualifications: - Bachelor's or Master's degree in Data Science, Biostatistics, Health Informatics, Epidemiology, Health Economics, Public Health, or related quantitative fields with an emphasis on patient-centered research. - 3-9 years of experience in Patient Analytics, Digital Health Analytics, RWE, and HEOR, preferably within the pharmaceutical, consulting, or healthcare industries. - Proficiency in statistical software and programming languages (Python, R, SAS, SQL), machine learning applications, data visualization tools, healthcare databases, patient privacy regulations, and clinical trial data utilization. - Experience with patient cohort identification, patient engagement analytics, care pathway optimization, treatment sequence analysis, patient risk scoring, population health management, and integration of RWE and HEOR principles. - Strong analytical and problem-solving abilities, excellent communication skills, collaborative approach, adaptability, continuous learning mindset, and ethical approach to patient data handling. Benefits: - Competitive salary and comprehensive benefits package. - Leadership opportunities in patient analytics, RWE, and HEOR initiatives. - Career development in the rapidly growing patient analytics and precision medicine field. - Collaborative environment with opportunities to impact patient care and outcomes. - Exposure to innovative healthcare technologies and global life sciences industry trends. - Professional development support including conferences, certifications, and advanced training in patient analytics, RWE, and HEOR methodologies.,

We are looking for a highly skilled Technical Data Analyst to be a part of our growing team. This role demands a strong technical background in Oracle PL/SQL and Python, along with proficiency in data analysis tools and techniques. The ideal candidate should possess strategic thinking abilities and a track record of leading and mentoring data analyst teams. You will play a crucial role in delivering data-driven insights and contributing to important business decisions. Additionally, you will be responsible for exploring and assessing emerging AI tools and techniques for potential application in data analysis projects. As a Technical Data Analyst, your key responsibilities will include designing, developing, and managing complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes. You will utilize Python scripting for data analysis, automation, and reporting purposes. Conducting thorough data analysis to identify trends, patterns, and anomalies will be essential in providing actionable insights to enhance business performance. Collaboration with cross-functional teams to comprehend business requirements and translating them into technical specifications will also be part of your role. You will be instrumental in establishing and maintaining data quality standards to ensure data integrity across various systems. Furthermore, leveraging data analysis and visualization tools such as Tableau, Power BI, and Qlik Sense to create interactive dashboards and reports for business stakeholders will be a key aspect of your responsibilities. It is crucial to stay updated with the latest data analysis tools, techniques, and industry best practices, including advancements in AI/ML. As a Technical Data Analyst, you will be required to research and evaluate emerging AI/ML tools and techniques for potential application in data analysis projects. Preferred Qualifications: - Hands-on experience as a Technical Data Analyst (not a business analyst) with expertise in Oracle PL/SQL and Python programming to interpret analytical tasks and analyze large datasets. - Proficiency in Python scripting for data analysis and automation. - Expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense. - Awareness and understanding of AI/ML tools and techniques in data analytics, including machine learning algorithms, natural language processing, and predictive modeling. - Practical experience in applying AI/ML techniques in data analysis projects is considered a plus. - Strong analytical, problem-solving, communication, and interpersonal skills. - Experience in the financial services industry is preferred. This role is suitable for a Data Scientist with expertise in Python, Cloud technologies, and advanced data analytics. Detailed job description will be provided to HR for updating this posting.,

The company is seeking a skilled and motivated Data Scientist to join the global team at Sloan and contribute significantly to the development of advanced AI platforms supporting Sales, Marketing, and Operations. In this role, you will lead and coordinate data science initiatives with the offshore team in India. Your responsibilities will include designing, constructing, and deploying AI models utilizing Python, R, SQL, and Java, with a particular emphasis on LLMs, forecasting, and customer analytics. By conducting statistical analysis, predictive modeling, and machine learning, you will address practical business challenges such as marketing and sales targeting enhancements, demand forecasting, customer retention modeling, operational efficiency enhancements, cost reduction strategies, advanced reporting, and insights generation. Additionally, you will be tasked with creating clear, compelling data visualizations and conveying insights to non-technical stakeholders. Collaboration with global teams, as well as managing and mentoring the data team in India, will be essential. Ensuring synchronization between U.S. business priorities and the Indian execution teams, taking charge of project schedules, task management, and quality assurance for deliverables will also fall under your purview. Qualified candidates should possess 5-7 years of hands-on experience in Data Science or a related field, advanced programming proficiency in Python, R, Java, and SQL, familiarity with machine learning models, statistical analysis, and data visualization tools, and experience in working with or developing solutions using LLMs. Demonstrated ability to utilize Cloud Services for analytics, previous experience leading or managing data analytics teams, excellent verbal and written communication skills, fluency in English, proactive self-starting abilities, and a bachelor's or master's degree in Computer Science, Engineering, Statistics, Mathematics, Artificial Intelligence, or a related field are necessary. Ideal candidates will reside within a one-hour commute of Sloan, Gurugram, India, and must be available for a full-time, in-office role as remote or hybrid options are not provided. Comfort working in a fast-paced, global environment with U.S.-based colleagues, experience in Multinational Companies (MNC), a self-starting, curious and open-minded attitude towards learning new concepts are preferred. This position requires working in the U.S. shift from 02:00 PM IST to 10:30 PM IST.,

Your responsibilities include leading a team of 10+ associates to support key deliverables for Region Europe, promoting a data-driven decision-making culture through coaching, mentoring, and introducing industry best practices and external perspectives. You will conceptualize, design, and develop advanced analytics projects and proof of concepts on prioritized use cases incorporating multiple data sources. Additionally, you will design and implement automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate it with existing systems. Your role will involve overseeing data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives. Collaboration with cross-functional global teams to ensure accurate delivery of key projects is also a key aspect of your responsibilities. You will provide thought leadership to foster a culture of data-driven decision-making, identify best practices across the organization and industry, and provide inputs to the team and the broader community. Your role will involve driving data-driven innovation and supporting operational excellence through simplification and automation initiatives. To be successful in this role, you will need a Master's or bachelor's degree in Data Analytics, Data Science, Business, or Engineering; an MBA from a reputed institute is preferred. You should have 10+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues. Experience in Commercial Analytics in the Pharma or Life Sciences industry is preferred. Additionally, you should have experience working with large datasets, data visualization tools, statistical software packages, and platforms, specifically Python, advanced SQL, Snowflake, AWS, Databricks, PowerBI, and Alteryx. Demonstrated experience in designing and delivering insights using statistical models, AI/ML, including GenAI, is a significant plus. Experience deploying predictive models, user-centric dashboards, cloud-based ELT pipelines, simulation, and optimization models is also a significant plus. Proficiency in project management tools and practices, as well as high proficiency in MS-Excel and PPT, is required. In this role, you will receive benefits such as flexible working arrangements, learning and development opportunities, and more. Join Sandoz, a leader in the Generic and Biosimilar medicines sector, where you can contribute to touching the lives of millions of patients worldwide. Shape the future of Sandoz by leveraging new development capabilities, state-of-the-art production sites, acquisitions, and partnerships to increase access to low-cost, high-quality medicines sustainably. Experience an open, collaborative culture driven by talented and ambitious colleagues, where diversity is welcomed, and personal growth is encouraged. Embrace an agile and collegiate environment with impactful, flexible-hybrid career opportunities. The future is in your hands at Sandoz!,

Job Description: As a leader at a Fortune Global 500 organization, you will be responsible for advocating various data science teams on best practices surrounding the development and implementation of advanced analytic systems and predictive and prescriptive models. Working closely with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects, you will play a crucial role in creating and delivering insights from large and disparate data to enable confident business decisions. Your role will involve evaluating and adopting emerging technologies that support statistical modeling, machine learning, distributed computing, and run-time performance tuning to optimize processes and introduce new products and services to the market. Additionally, you will support senior leadership by planning and executing broad advanced analytics initiatives aimed at delivering value to both internal and external stakeholders. Furthermore, you may also be involved in managing people within the department. Responsibilities: - Lead and oversee the data analysts, data scientist team, machine learning engineers, and big data specialists to implement models and systems that provide optimal results and are scalable to meet future business needs. - Serve as a subject matter expert on UPS business processes, data, and advanced analytics capabilities to define problems, data, and model requirements using proven predictive and prescriptive techniques. - Maintain a broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to develop strategies that support the creation, development, and delivery of analytic solutions aligned with business needs. - Prototype algorithms to ensure analytic results address problem statements and business requirements effectively. - Interpret and analyze large-scale datasets to uncover insights supporting the building of analytic systems and predictive models while experimenting with new and emerging techniques. - Identify and evaluate cutting-edge open-source, data science/machine learning libraries, data platforms, and vendor solutions to prioritize and plan data projects across the enterprise. - Provide thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, recommend courses of action, and design and implement solutions. - Advocate for best practices in the adoption of Cloud-AI technologies, open-source software, machine learning libraries/packages, and data science platforms to derive actionable insights empowering business decisions. - Communicate effectively with business customers and the senior leadership team with varying levels of technical knowledge, educate them about systems, and share insights and recommendations to inform business strategies. - Manage analytics projects/teams and act as a point of contact to ensure alignment of team actions and communication with stakeholders to keep projects on track with goals. Qualifications: - Ability to engage key business and executive-level stakeholders to translate business problems into high-level analytics solutions. - Extensive experience working with large-scale, complex datasets to develop machine learning, predictive, forecasting, and optimization models. - Proven track record of handling ambiguity, prioritizing needs, and delivering results in a dynamic environment. - Expertise in data management pipelines involving data extraction, analysis, and transformation using data querying languages (e.g. SQL, NoSQL, BQ) or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). - Hands-on experience in launching moderate to large-scale advanced analytics projects in production at scale; utilizing Cloud-AI technologies, machine learning frameworks, and enterprise data science platforms. - Ability to explain technical concepts to non-experts, strong analytical skills, attention to detail. - Direct experience in developing analytical solutions empowering business decisions and product creation using various techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP). - Excellent verbal and written communication skills with the ability to convey data through a story framework, present data-driven results to technical and non-technical audiences, and advocate technical solutions to diverse groups. - Master's Degree in a quantitative field such as mathematics, computer science, physics, economics, engineering, statistics, or equivalent job experience. Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.,

As a Data Scientist_VIS at Viraaj HR Solutions, you will play a crucial role in analyzing complex datasets to derive actionable insights and develop predictive models to address various business challenges. Your responsibilities will include collaborating with cross-functional teams to define data requirements, creating data visualizations and dashboards for effective presentation of findings, and conducting statistical analysis to identify trends and patterns. Additionally, you will be utilizing machine learning algorithms for data prediction, designing and maintaining databases to store large datasets, and gathering and preprocessing data for analysis. It will be essential for you to identify opportunities for process improvement based on data insights, ensuring data quality and accuracy throughout data handling processes, and supporting the implementation of data-driven strategies within the organization. To excel in this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, or a related field, along with proven experience as a Data Scientist or in a similar capacity. Strong programming skills in Python or R, experience with SQL databases and querying, and familiarity with big data technologies like Hadoop or Spark will be advantageous. Moreover, your expertise in machine learning algorithms, data visualization tools such as Tableau or Power BI, and statistical analysis techniques will be critical for success. As a valued member of our team, you will have the opportunity to work on big data technologies to enhance data processing capabilities, stay updated with the latest data science trends and technologies, and collaborate on research projects to explore innovative solutions. Your role will also involve mentoring junior data scientists and interns, necessitating exceptional analytical skills, attention to detail, and strong communication abilities to convey complex data insights to non-technical audiences effectively. If you possess skills in predictive modeling, team collaboration, cloud computing, data analysis, project management, problem-solving, and data quality assurance, along with a passion for continuous learning and adaptation in a fast-paced environment, we encourage you to apply. Join us in leveraging data management best practices and shaping the future of data science at Viraaj HR Solutions.,

You will play a crucial role as part of a team of scientists collaborating closely with external clients to develop efficient predictive models, analyze and validate production model behavior, and ensure optimal model performance. This role will provide opportunities to support the internal technology team in model development and engage in sales activities pertaining to the assessment of models for various client environments. Your contributions will involve building and assessing predictive and decision models for deployment in production systems or research. This encompasses analyzing extensive historical data, determining suitability for modeling, data cleanup and filtering, pattern identification, variable creation, selection of sampling criteria, defining and generating performance metrics, conducting experiments with diverse algorithms and models, and assessing performance to determine the most effective algorithms for implementation. You will assist in the deployment of models into production by conducting production data validations and analyzing score distributions of models in production. Additionally, you will apply data mining techniques to thoroughly analyze model behavior and provide support for customer meetings, model construction, and pre-sales activities. Managing projects within time and resource constraints, collaborating with other teams within FICO, and providing high-quality support to facilitate the integration and deployment of analytics software and solutions will also be part of your responsibilities. You may also participate in post-implementation support. The ideal candidate will possess an MS degree in a statistics, engineering, mathematics, computer science, physics, or operations research field. A PhD is preferred. Some relevant industry experience in predictive modeling and data mining or a PhD without related experience is desirable. Proficiency in Perl/Python, C, C++, or Java, along with familiarity with basic software design principles, coding standards, and best practices, is required. Experience in analyzing large datasets, applying data-cleaning techniques, and conducting statistical analyses to comprehend dataset structures is essential. Knowledge of Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, and SVM is preferred. We offer an inclusive culture that embodies our core values: Acting Like an Owner, Delighting Our Customers, and Earning the Respect of Others. You will have the opportunity to create an impact and enhance your professional growth by leveraging your unique strengths and engaging in valuable learning experiences. We provide highly competitive compensation, benefits, and rewards programs that encourage you to deliver your best every day and be acknowledged for your efforts. Our engaging, people-first work environment promotes work-life balance, offers employee resource groups, and hosts social events to foster interaction and camaraderie.,

As a Data Analyst & Insights professional, you will be responsible for analyzing large datasets from various sources to identify trends, patterns, and actionable insights that are crucial for media and business stakeholders. Your role will involve developing and maintaining dashboards, reports, and visualizations using BI tools like Tableau and Power BI. It will be essential to translate complex data findings into clear and compelling narratives for non-technical audiences. In addition to data analysis, you will design, implement, and maintain robust data pipelines and ETL processes to ensure data quality, integrity, and consistency across all analytics outputs. Collaboration with cross-functional teams to define KPIs, track performance, and identify optimization opportunities will also be a key aspect of your role. Your expertise in Media Analytics will be utilized to apply analytics to media metrics such as audience engagement, campaign performance, and content effectiveness. You will monitor and analyze key performance indicators specific to the media industry and contribute to creating performance reports for campaigns, brands, and channels. Stakeholder engagement will be another critical component of your role, requiring you to partner with business leaders, marketing, and product teams to understand data needs and deliver tailored analytics solutions. You will present insights and recommendations to senior management and external clients. Continuous improvement is encouraged in this role, and staying updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence is essential. You will identify and implement process improvements to enhance analytics efficiency and impact. To excel in this position, you should have 7-9 years of experience in data analysis, business intelligence, or related roles, preferably within the media industry. Proficiency in SQL for data querying and manipulation, experience in team management, and advanced knowledge of Python for data analysis, automation, and scripting are required. Hands-on experience with BI tools like Tableau and Power BI, familiarity with data visualization best practices, and strong statistical and analytical skills are also necessary. Excellent communication and presentation skills, the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment are essential for success in this role. Experience with cloud data platforms (AWS, GCP, or Azure) is a plus, as well as knowledge of media analytics platforms (e.g., Google Analytics, Adobe Analytics) and digital marketing metrics. An understanding of data governance, privacy, and compliance standards is also beneficial. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field is preferred.,

As a Data Analyst at Highspot, you will play a crucial role in analyzing large and complex data sets to identify patterns, create new metrics, develop predictive models, build dashboards, and generate insights that drive business decisions. Your responsibilities will include analyzing core business topics using Highspot's product and business data, partnering with cross-functional teams to leverage statistics, machine learning, and operations research techniques, conceptualizing data pipelines with the Data Engineering team, defining top-level business metrics, and leading research to uncover new opportunities for analytics within Highspot's product and business. To qualify for this role, you should have an advanced degree (MS, BS) in Data Science, Computer Science, Artificial Intelligence, Statistics, or related quantitative fields. You should also have 6+ years of experience using SQL, 2+ years of experience with Tableau, 6+ years of experience in Python and related analytics libraries, and 6+ years of experience in designing, developing, and deploying predictive models. Experience with git, AWS cloud technology, and working remotely with a U.S.-based team is preferred. The ideal candidate will have a demonstrable track record of dealing well with ambiguity, excellent communication skills, and empathy to support and contribute to the team's success. If you resonate with these requirements, we encourage you to hit the apply button and join us in revolutionizing how individuals work worldwide through intelligent content management and actionable analytics at Highspot.,