1143 Statistical Modeling Jobs - Page 4

Salary : 45 to 60LPA Exp: 12 to 20 years Location : Remote Notice: Immediate to 30 days..!! Roles & responsibilities: 10+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Job Description : You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You have excellent understanding of web frameworks for quickly showcasing the features and functionalities of the solution. You enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have: • 8+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field • 5+ years of hands-on ML modeling/development experience • Solid understanding of data analysis and statistical modeling. • Solid experience with web frameworks like Streamlit, Flask, Django etc • Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. • Demonstrated track records in experimental design and executions • Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions • Strong programming skills in Python • Solid background in algorithms and a range of ML models • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level • Excellent analytical and problem-solving abilities with superb attention to detail • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Job Description : You are pa ssion ate about cutting-edge technology and keen on apply ing GenAI algori t hms and approaches . Yo u a re analytical ly driven, inte l lectually cur iou s, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You are mostly an Individual Contributor who enjoy s crack ing hard to solve problems with recent LLMs and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of expe rienc e, or B achel or's degree with 10+ years of experience in Computer Science, Engineering, A pplied mathem atics or related field 7+ years of hands-on ML modeling/development experience Experience in creating GenAI and Agentic AI applications Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. Demonstrated track records in experimental design and executions Strong ski lls i n Python , PyTorch , Langchain , LangGraph etc Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities wit h superb attention to detail Proven leadership in providing tec hnical le adership and mentoring to data scientists and strong management skills with ability to monitor /track performance for enterprise success Location: This position can be based in any of the following locations: Chennai, Gurgaon For internal use only: R000107556

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple projects and meet deadlines in a fast-paced environment. Strong attention to detail and ability to interpret complex data sets. Experience working with IT Services & Consulting firms, focusing on business intelligence and analytics.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. Roles and Responsibility Analyze complex data sets to identify trends and patterns, providing insights to stakeholders. Develop and implement process improvements to increase efficiency and productivity. Collaborate with cross-functional teams to achieve business objectives. Design and execute experiments to test hypotheses and validate results. Communicate findings and recommendations to senior management through reports and presentations. Stay updated with industry trends and emerging technologies to drive innovation. Job Requirements Strong analytical and problem-solving skills, with attention to detail and accuracy. Excellent communication and interpersonal skills, enabling effective collaboration with diverse stakeholders. Ability to work in a fast-paced environment, prioritizing multiple tasks and meeting deadlines. Proficiency in data analysis tools and software, with strong programming skills in languages such as Python or R. Experience with statistical modeling and machine learning techniques, applied to real-world problems. Strong business acumen, with an understanding of industry trends and market dynamics.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with data visualization tools such as Tableau or Power BI. Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Ability to prioritize multiple projects in a fast-paced environment. Strong problem-solving skills, with the ability to think critically and outside the box. Proficiency in Microsoft Office Suite, particularly Excel, Word, and PowerPoint.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and data visualization. Experience with analytical tools such as Excel, SQL, or programming languages like Python or R. Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions. Ability to prioritize multiple tasks and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and data visualization. Experience with analytical tools such as Excel, SQL, or programming languages like Python or R. Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions. Ability to prioritize multiple tasks and projects in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

We are looking for a highly skilled Data Scientist with 7 to 10 years of experience to join our team as a Senior Process Manager in eClerx Services Ltd., located in Mumbai. Roles and Responsibility Develop and implement data-driven solutions to enhance business processes. Collaborate with cross-functional teams to identify areas for improvement and optimize workflows. Design and maintain databases and data systems to support business intelligence initiatives. Analyze complex data sets to inform strategic decisions and drive business growth. Develop and maintain reports and dashboards to track key performance indicators. Ensure data quality and integrity by implementing data validation and testing procedures. Job Requirements Strong understanding of data analysis, machine learning, and statistical modeling techniques. Experience with data visualization tools such as Tableau or Power BI. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills to work effectively with stakeholders. Ability to design and implement process improvements to increase efficiency and productivity. Strong knowledge of data management principles and practices.

• Total experience 5+ years • Working experience in Python • Experience with data visualization • working experience of DS stack packages • Experience working with GCP/AWS cloud services • Hands-on experience deploying ML solutions

Job Summary: The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the companys overall strategic goals. Key Responsibilities: 1. Leadership and Team Management: Lead, mentor, and develop a team of data scientists. Foster a culture of innovation, collaboration, and continuous learning. Set clear goals and performance expectations for the team. 2. Strategy and Vision: Define and implement the data science strategy aligned with the companys objectives. Identify and prioritize data science projects that drive business value. Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science. 3. Technical Expertise: Oversee the development and deployment of machine learning models and algorithms. Ensure best practices in data modeling, coding, and experimental design. Provide technical guidance on complex data science projects. 4. Collaboration and Communication: Work closely with business leaders to understand their needs and translate them into data science initiatives. Communicate findings and recommendations to both technical and non-technical stakeholders. Collaborate with data engineering, IT, and other departments to ensure data availability and integrity. 5. Project Management: Manage multiple data science projects, ensuring timely and successful delivery. Allocate resources effectively and balance team workloads. Monitor project progress and make adjustments as needed. 6. Performance Measurement: Develop metrics to measure the impact and effectiveness of data science initiatives. Continuously evaluate and refine models and strategies based on performance data. Report on key performance indicators to senior management. Qualifications: Education: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Masters or Ph.D. preferred. Experience: 7+ years of experience in data science or a related field. 3+ years in a leadership or managerial role within a data science team. Proven track record of delivering impactful data science solutions in a business context. Technical Skills: Expertise in statistical analysis, machine learning, and predictive modeling. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Ability to translate complex technical concepts into actionable business insights. Strong organizational and project management skills. Preferred Qualifications: Experience in [specific industry or domain relevant to the company]. Knowledge of deep learning, NLP, or other advanced AI techniques. Experience with Agile methodologies and project management tools.

Job Overview: We are seeking a skilled Data Scientist with 4 to 12 years of experience, specializing in Machine Learning, PySpark, and Databricks, with a proven track record in long-range demand and sales forecasting. This role is crucial for the development and implementation of an automotive OEMs next-generation Intelligent Forecast Application. The position will involve building, optimizing, and deploying large-scale machine learning models for complex, long-term forecasting challenges using distributed computing frameworks, specifically PySpark on the Databricks platform. The work will directly support strategic decision-making across the automotive value chain, including areas like long-term demand planning, production scheduling, and inventory optimization. The ideal candidate will have hands-on experience developing and deploying ML models for forecasting, particularly long-range predictions, in a production environment using PySpark and Databricks. This role requires strong technical skills in machine learning, big data processing, and time series forecasting, combined with the ability to work effectively within a technical team to deliver robust and scalable long-range forecasting solutions. "The ideal resource should have a strong background in mathematics to effectively understand and work with complex optimization models. Key Responsibilities: Machine Learning Model Development & Implementation for Long-Range Forecasting : Design, develop, and implement scalable and accurate machine learning models specifically for long-range demand and sales forecasting challenges. Apply advanced time series analysis techniques and integrate them with machine learning models leveraging PySpark for data processing and model training on large datasets within the Databricks environment. Implement probabilistic forecasting methods using PySpark to capture uncertainty in long-range predictions. Develop robust solutions for hierarchical and grouped long-range forecasting on distributed data. Data Processing and Feature Engineering with PySpark : Build and optimize large-scale data pipelines for ingesting, cleaning, transforming, and engineering features relevant to long-range forecasting from diverse, complex automotive datasets using PySpark on Databricks. Deployment and MLOps o Databricks : Develop and implement robust code for model training, inference, and deployment of long-range forecasting models directly within the Databricks platform. Apply MLOps principles compatible with Databricks workflows for model versioning, monitoring, retraining, and managing the lifecycle of long-range ML forecasting models in production. Collaborate with Data Engineering and IT Operations to ensure seamless deployment and operational efficiency of the forecasting application on Databricks. Performance Evaluation & Optimization: Evaluate long-range forecasting model performance using relevant metrics (e.g., MAE, RMSE, MAPE, considering metrics suitable for longer horizons) and optimize models and data processing pipelines for improved accuracy and efficiency within the PySpark/Databricks ecosystem. Technical Collaboration: Work effectively as part of a technical team, collaborating with other data scientists, data engineers, and software developers to integrate ML long-range forecasting solutions into the broader forecasting application built on Databricks. Communicate technical details and forecasting results effectively within the technical team. Required Qualifications: Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related quantitative field. Experience: 3+ years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Proven experience developing and deploying machine learning models in a production environment. Demonstrated experience in long-range demand and sales forecasting. Significant hands-on experience with PySpark for large-scale data processing and machine learning. Extensive practical experience working with the Databricks platform, including notebooks, jobs, and ML capabilities. Technical Skills: Expert proficiency in PySpark. Expert proficiency in the Databricks OR Snowflake or Oracle platform. Strong proficiency in Python and SQL. Experience with machine learning libraries compatible with PySpark (e.g., MLlib, or integrating other libraries). Experience with advanced time series forecasting techniques and their implementation. Experience with distributed computing concepts and optimization techniques relevant to PySpark. Hands-on experience with a major cloud provider (Azure, AWS, or GCP) in the context of using Databricks. Familiarity with MLOps concepts and tools used in a Databricks environment. Experience with data visualization tools. Analytical skills with a deep understanding of machine learning algorithms and their application to forecasting. Ability to troubleshoot and solve complex technical problems related to big data and machine learning workflows. Preferred Qualifications: Experience with specific long-range forecasting methodologies and libraries used in a distributed environment. Experience with real-time or streaming data processing using PySpark for near-term forecasting components that might complement long-range models. Familiarity with automotive data types relevant to long-range forecasting (e.g., economic indicators affecting car sales, long-term market trends). Experience with distributed version control systems (e.g., Git). Knowledge of agile development methodologies. Soft Skills: Collaboration: Ability to work effectively as part of a technical team. Communication: Clear and concise communication of technical details and forecasting results. Problem-Solving: Ability to tackle complex technical challenges and find efficient solutions. Learning Agility: Eagerness to learn and adapt to new technologies and methodologies within the PySpark/Databricks ecosystem and advancements in long-range forecasting. Ability to understand business needs related to long-term planning.

The Data Science Lead Analyst position at Citigroup is a key role that requires you to conduct strategic data analysis, identify insights, and make strategic recommendations. You will be responsible for developing data displays that clearly communicate complex analysis and mining and analyzing data from various banking platforms to drive optimization and improve data quality. In this role, you will deliver analytics initiatives to address business problems, determine required data, assess time & effort needed, and establish project plans. Your responsibilities will include consulting with business clients to identify system functional specifications, solving complex system issues through in-depth evaluation of business processes, systems, and industry standards, and recommending solutions. You will also lead the system change process from requirements through implementation, provide user and operational support for applications to business users, and formulate systems scope and goals for complex projects. As the Data Science Lead Analyst, you will impact the business directly by ensuring the quality of work provided by yourself and others, considering the business implications of applying technology, and driving communication between business leaders and IT. You will collaborate on the design and implementation of workflow solutions, develop in-depth knowledge of supported business areas, and gather requirements and provide solutions across business sectors. Additionally, you will partner with cross-functional teams to analyze current state processes, identify improvement opportunities, and assist in negotiating for resources. To qualify for this role, you should have an MBA or Advanced Degree in Information Systems, Business Analysis, or Computer Science, along with 6-10 years of experience using tools for statistical modeling of large data sets and experience in process improvement or project management. A Bachelor's/University degree or equivalent experience, potentially with a Master's degree, is required. This job description provides an overview of the primary duties involved in the position. Other job-related tasks may be assigned as needed. If you are a person with a disability and require a reasonable accommodation to use the search tools or apply for a career opportunity, please review Accessibility at Citi. It is important to adhere to Citigroup's EEO Policy Statement and Know Your Rights poster.,

As a Data Modeler, you will be responsible for conducting extensive analysis of business data and designing models. You will utilize statistical modeling, data mining, and machine learning techniques to develop data models based on various application scenarios and business requirements. Your role will involve providing suitable recommendation algorithm models to appbar and reporting statistical data to support the implementation of different algorithms. It will also be essential for you to research the limitations of existing algorithms and propose viable improvement measures and solutions. To qualify for this position, you should hold a Bachelor's degree or higher in computer science, applied mathematics, artificial intelligence, pattern recognition, statistics, automation, or related fields. You are required to have more than 3 years of relevant work experience and possess a deep understanding of machine learning and data mining algorithms, along with their applications on the web. Proficiency in C/C++ and at least one scripting language such as Python or Ruby is necessary. Experience with BOINC and parallel algorithm development will be an added advantage. The ideal candidate will demonstrate rigorous mathematical thinking, exceptional analytical and inductive reasoning skills, as well as effective communication abilities. Prior experience in internet advertising, electricity, or search recommendation is preferred but not mandatory.,

The Data Analytics Senior Analyst role at our organization requires a seasoned professional with extensive knowledge in the field. You will play a key role in developing new techniques and enhancing processes and work-flow within your area of expertise. By integrating subject matter and industry expertise, you will contribute significantly to the overall objectives of the function and the business as a whole. Your responsibilities will involve evaluating complex issues, weighing various alternatives, and utilizing analytical skills to filter, prioritize, and validate information from multiple sources. As a Data Analytics Senior Analyst, you will be expected to coordinate and contribute to data science initiatives and overall business objectives by leveraging your in-depth understanding of how different areas integrate within the sub-function. Additionally, you will take on leadership responsibilities by coaching and training new team members, as well as influencing decisions and performance through your advice and guidance. Your role will involve conducting strategic data analysis, identifying insights, and making recommendations based on your findings. You will be responsible for mining and analyzing data from various banking platforms to drive optimization and enhance data quality. Furthermore, you will lead system change processes, provide support to business users, and ensure the quality of work provided by yourself and others. To be successful in this role, you must have at least 8 years of experience using tools for statistical modeling of large data sets. You should also possess strong analytical, interpretive, and problem-solving skills, along with excellent interpersonal, verbal, and written communication abilities. A Bachelor's degree or equivalent experience is required for this position. This job description offers an overview of the key responsibilities and qualifications for the Data Analytics Senior Analyst role. Additional duties may be assigned as needed to support the team and business objectives. If you require a reasonable accommodation to apply for this position due to a disability, please review the Accessibility information at Citi. To learn more about Citigroup's EEO Policy Statement and your rights, please refer to the provided resources.,

Everything at Dell Technologies is groundbreaking, from the designers of the products to the developers of the supply systems. The Supply Chain team drives the development, implementation, and management of supply chain operations and suppliers in the delivery of strategic programs. The focus is on managing supplier relationships, ensuring parts and services availability in the supply chain, and maintaining inventory at acceptable levels. Resources are concentrated on improving the movement of materials through production processes and establishing key performance metrics and benchmarks related to supply chain planning and forecasting. As an Undergraduate Intern in Global Operations Supply Chain at our Austin, Texas location, you will have the opportunity to contribute to the team's efforts and make a significant social impact. At Dell Technologies, Supply Chain experts and processes support the company's transformation strategy. With in-house training and development programs, team members can build their careers within Dell, fostering an environment of inspiration, connection, and success. As an intern, you will work in various areas of Global Operations, completing analyses and presenting results/recommendations to management on specific summer projects. Potential areas for summer projects include Procurement, Manufacturing & Operations, and Data Analytics and Automation. Examples of potential summer projects include cost modeling, cycle time reductions, inventory management enhancements, and real-time metrics packages to improve customer experience. To be considered for this role, you should be pursuing an Undergraduate degree in Supply Chain Management, Logistics, Industrial and Systems Engineering, or a related field. Strong written and verbal communication skills are essential, along with the ability to work effectively with all levels of the organization. Desirable qualifications include a minimum GPA of 3.0, relevant experience through internships or part-time jobs, leadership involvement in student organizations or community groups, and a genuine interest in supply chain, technology, and making a meaningful impact. Join Dell Technologies, a family of businesses dedicated to helping people and organizations transform how they work, live, and play. If you are seeking an opportunity to grow your career with innovative technology and a supportive team, we welcome you to apply. Dell Technologies upholds the principle of equal employment opportunity and provides a work environment free of discrimination and harassment. Job ID: R275493,

The Specialized Analytics Senior Analyst role at Citigroup is a position suited for a seasoned professional. In this role, you will leverage your in-depth disciplinary knowledge to contribute to the development of new techniques and enhance processes and work-flow within your area or function. By integrating subject matter expertise and industry knowledge, you will play a key role in driving the objectives of the function and overall business. Your responsibilities will involve evaluating moderately complex issues with potential substantial impact, requiring you to analyze information from various sources and make well-informed decisions. Excellent analytical, communication, and diplomacy skills are essential for success in this role. As a Specialized Analytics Senior Analyst, you will work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. You will utilize tools such as SQL and Access to identify and compile data sets, aiding in predicting, improving, and measuring key business outcomes. Documenting data requirements, data collection, processing, cleaning, and conducting exploratory data analysis will also be part of your responsibilities. Additionally, you may be involved in utilizing statistical models, algorithms, and data visualization techniques. Specialization in marketing, risk, digital, and AML fields is possible within this role. To excel in this position, you should have at least 7 years of experience, with the ability to retrieve and manipulate data effectively. Advanced analytic and problem-solving skills are crucial for addressing business questions with innovative data-driven solutions. Building partnerships with cross-functional teams, particularly in a quantitative field such as the financial or credit card industry, is important. A willingness to learn, a can-do attitude, excellent communication and interpersonal skills, organizational abilities, attention to detail, flexibility, and adaptability to a matrix work environment are also desired qualities. The ideal candidate will hold a Bachelor's or University degree or possess equivalent experience. This job description offers a comprehensive overview of the role, and additional job-related duties may be assigned as necessary. If you are an individual with a disability requiring accommodations to use search tools or apply for career opportunities at Citi, please review the Accessibility at Citi information. Furthermore, you can refer to Citigroup's EEO Policy Statement and the Know Your Rights poster for more details on equal employment opportunities.,

The division you will be a part of at Goldman Sachs focuses on recruiting, developing, and rewarding the people within the organization. The teams in this division work on advising, designing, and implementing strategies, processes, and technologies to help individuals progress in their careers, enhance productivity, and contribute to the firm's and clients" success. We are seeking individuals with strong problem-solving and analytical skills, innovative thinking, and intellectual curiosity, who are eager to have a positive impact on the firm's most valuable asset - its people. In this role within the People Analytics team, your primary responsibility will be to drive data-informed talent decisions across the organization. You will use your analytical skills and storytelling abilities to translate complex HCM data into actionable insights for senior stakeholders, such as Regional HCM Heads, Divisional Heads, Chiefs of Staff, and the Executive Office. Collaboration is key in this role, as you will partner with various teams to influence talent strategies throughout the employee lifecycle, impacting areas such as capacity planning, budgeting, and headcount strategy. This position presents a unique opportunity to shape workforce planning and optimization by providing data-driven recommendations to senior leadership. Your key responsibilities will include: - Partnering with senior stakeholders to understand their business needs and deliver data-driven solutions. - Conducting in-depth analysis of HCM data to identify trends, patterns, and improvement opportunities. - Developing compelling narratives and visualizations to communicate insights effectively and influence strategic decision-making. - Providing data-driven insights to support stakeholders at every stage of the employee lifecycle. - Collaborating with different teams to design and implement data-driven solutions that optimize talent outcomes. - Contributing to the development and maintenance of HCM reporting dashboards and tools. - Coordinating with relevant teams on headcount projections for various purposes. To be successful in this role, you should have: - 4-6 years of post-MBA experience, preferably from a top-tier consulting background. - Demonstrated analytical mindset and ability to translate data into actionable insights. - Exceptional communication and presentation skills, including experience in presenting to senior executives. - Proficiency in data analysis tools and techniques like SQL, Excel, and statistical modeling. - Extensive experience in working with large datasets and HRIS systems. - Knowledge in compensation and reward analytics, executive compensation, and regulatory disclosures is advantageous. - Ability to think strategically and craft compelling narratives from data. - Strong project management skills and effective prioritization abilities. - Excellent interpersonal skills and the capability to build relationships with stakeholders at all levels. Goldman Sachs is a globally renowned investment banking, securities, and investment management firm founded in 1869. We are dedicated to fostering diversity and inclusion within our workplace and beyond, providing numerous opportunities for professional and personal growth. Learn more about our culture, benefits, and people at GS.com/careers.,

As a fresher with basic knowledge of using Microsoft SQL Server (version 2008 or later), you will be responsible for creating and maintaining complex T-SQL queries, views, and stored procedures. You should also have the ability to monitor performance and enhance it by optimizing the code and creating indexes. Proficiency in Microsoft Access and Microsoft Excel is required for this role. Additionally, you should possess knowledge of descriptive statistical modeling methodologies such as classification, regression, and association activities to support statistical analysis in various healthcare data. Your strong written, verbal, and customer service skills will be essential in this position. You should be proficient in compiling data, creating reports, and presenting information using tools like query, MS Excel, SSRS, Tableau, PowerBI, etc. Furthermore, familiarity with various data forms including star and snowflake schemas is preferred. Your role will involve translating business needs into practical applications and working within a fast-paced environment. Being able to work effectively in a team environment and being flexible in taking on various projects is crucial. Previous experience in a similar fast-paced environment supporting multiple concurrent projects will be beneficial.,

You are looking for a Data Scientist Engineer who has a strong background in data analysis, machine learning, and visualization. The ideal candidate should be highly skilled in Python, Pandas, and Matplotlib, with a proven track record in developing and optimizing data-driven models. Any experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be considered advantageous. In this role, you will be responsible for analyzing and processing large datasets using Python and Pandas. Your primary tasks will include developing and refining machine learning models for predictive analytics, crafting data visualizations using Matplotlib and Seaborn to facilitate decision-making, and conducting data cleaning, feature engineering, and statistical analysis. You will also work with both structured and unstructured data to derive valuable insights and may be required to implement and enhance NER models for specific applications. To qualify for this position, you should have at least 2 years of professional experience and demonstrate a high level of proficiency in Python and essential data science libraries such as Pandas, NumPy, and Scikit-learn. Your background should encompass hands-on experience in data analysis, statistical modeling, and machine learning, along with a solid understanding of SQL and database querying. Familiarity with NLP techniques and NER models will be beneficial. Strong problem-solving and analytical skills are essential to excel in this role. This is a full-time position that offers benefits such as a flexible schedule, leave encashment, and Provident Fund. The work location for this role is in person. If you are passionate about leveraging data science techniques to drive meaningful insights and collaborate with cross-functional teams to deliver data-driven solutions, we encourage you to apply for this exciting opportunity.,

We are looking for a highly motivated and skilled Python Data Science Professional to join our dynamic Production Management AIOps team. In this role, you will leverage data science techniques and Python to develop innovative solutions that optimize production processes, enhance predictive capabilities, and integrate AI/ML models into operational workflows. The ideal candidate is a passionate data scientist with a strong understanding of Python's data science ecosystem, experience in building and deploying machine learning models, and a desire to work with large datasets in a fast-paced, collaborative environment. Responsibilities: Data Analysis & Modeling: - Analyze large, complex datasets to identify trends, patterns, and anomalies. - Develop and implement machine learning models using Python libraries to address business challenges related to production optimization, predictive maintenance, and anomaly detection. - Evaluate and refine model performance, ensuring accuracy and reliability. - Deploy and maintain machine learning models in production environments. Data Engineering & Pipelines: - Design and implement data pipelines to collect, process, and transform data from various sources. - Work with structured and unstructured data, ensuring data quality and integrity. - Collaborate with data engineers to integrate data science solutions into existing systems. Visualization & Communication: - Create clear and compelling visualizations to communicate data insights to technical and non-technical audiences. - Present findings and recommendations to stakeholders, effectively conveying the value of data-driven solutions. Collaboration & Continuous Learning: - Participate actively in agile development processes, collaborating with other data scientists, engineers, and product managers. - Stay up-to-date with the latest advancements in data science, machine learning, and AI. - Contribute to a positive and collaborative team environment by sharing knowledge and supporting colleagues. Qualifications: Technical Skills: - 5+ years of proven experience as a Data Scientist or similar role, with a strong focus on Python. - Proficiency in Python and essential data science libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch. - Experience with statistical modeling, machine learning algorithms, and data mining techniques. - Strong data visualization skills using libraries like Matplotlib, Seaborn, or Plotly. - Experience with data engineering tools and techniques such as SQL, Spark, and cloud-based data warehousing solutions. - Knowledge of version control systems like Git. - Familiarity with agile development methodologies. Soft Skills: - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills. - Ability to work independently and as part of a team. - Ability to manage multiple tasks and prioritize effectively. - Passion for data science and a desire to learn and grow. Education: - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.,

Lowes is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowes supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts, and providing disaster relief to communities in need. Lowes India, the Global Capability Center of Lowes Companies Inc., is a hub for driving technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. Lowes India plays a pivotal role in transforming home improvement retail while upholding a strong commitment to social impact and sustainability. The Customer Insights team at Lowes uses data and analytics capabilities to provide strategic insights around customer and competitive landscape to help drive effective market strategy. The team works closely with various key functions across the business to provide insights and recommendations across different business areas. They track, report, and analyze various customer and market-related metrics to generate actionable insights on key customer segments, customer experience, and market position. The primary responsibility of the Customer Insights Analyst is to report, analyze, and provide insights on Customer Experience at Lowes across selling channels, customer segments, and product categories. The individual will apply analytical methods to combine internal and external data and analyze trends in Customer Experience Metrics and the factors that drive improvement in those metrics. Responsibilities include analyzing Customer feedback, LTR, NPS data to understand in-market trends, working with the US team to define reporting/analysis needs, identifying key customer trends through various analysis techniques, synthesizing disparate data sources to develop cohesive stories, and providing holistic insights on Customer Experience trends and Strategy. The ideal candidate should have 3-5 years of hands-on experience in Customer Experience Analytics/Customer Analytics/Customer Insights. A Masters degree in Economics/Statistics/Analytics or an MBA in Marketing is required. Primary skills should include hands-on experience in SQL, Teradata, Hadoop, Python, building Statistical/Mathematical models, and multivariate analysis. Consulting skills and excellent communication skills are essential to impact business decisions through analytics and research. Experience with text data, Customer Experience or Voice of Customer Metrics, and familiarity with the retail industry are desired skills for this role. The candidate should be proactive in applying modern tools and techniques to improve efficiency, accuracy, and overall quality of insights offered to stakeholders.,

We are seeking a talented and experienced Senior Data Scientist specializing in handling massive tabular data on Large Language Models (LLMs) to join our clients team Mobilewalla, a global, fast-growing consumer data and technology company headquartered in Atlanta, GA, USA. In this role, you will play a crucial role in leveraging your expertise in tabular data analysis and LLMs to extract insights, build predictive models, and drive data-driven decisions at scale, especially for our Telco Vertical product. Collaborating closely with fellow engineers, you will contribute to the evolution of our platform by developing large-scale systems that process and act on massive amounts of data both in real-time and offline. Responsibilities: Utilize Large Language Models: Harness the power of Large Language Models (LLMs) to analyse massive volumes of tabular data efficiently and effectively. Tabular Data Analysis: Apply advanced statistical techniques and machine learning algorithms to uncover patterns, trends, and anomalies in complex tabular datasets. Predictive Modelling: Develop and deploy predictive models using LLMs to forecast future trends, identify potential risks, and optimize business outcomes based on large-scale tabular data. Data Handling and Pre-processing: Lead efforts in cleaning, pre-processing, and transforming raw tabular data to ensure quality, consistency, and scalability for analysis. Collaborative Problem-Solving: Collaborate closely with cross-functional teams to understand business challenges, formulate data-driven solutions, and drive actionable insights from tabular data. Product Enhancement: Work closely with product managers to identify market trends and customer needs, translating them into actionable data science projects. Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction. Communication and Visualization: Effectively communicate findings, insights, and recommendations to non-technical stakeholders through clear visualizations, reports, and presentations. Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior data scientists and team members, fostering a culture of learning and innovation. Qualifications: Educational Background: Masters or Ph.D. in Data Science, Statistics, Computer Science, or a related field. Large Language Models (LLMs): Extensive experience working with Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) for processing and analysing tabular data at scale. Programming Proficiency: Strong proficiency in programming languages such as Python or R, with expertise in libraries such as PySpark, Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch for data manipulation, analysis, and modelling. Experience: Proven track record of at least 4-5 years in a data science role with a focus on Telco competitive intelligence products. Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain. Technical Skills: Proficiency in programming languages such as Python or R. Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools. Domain Knowledge: In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies. Familiarity with Telco-specific datasets and data sources. Preferred Qualification: Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products. Collaboration: Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders. Communication Skills: Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner. If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join the team and contribute to the success of our cutting-edge products in the telecommunications space. For Singapore location: Individuals who are Singapore Citizens, Permanent Residents, or Current Employment Pass (EP) holders only will be screened.,

The Specialized Analytics Senior Analyst role is a senior professional position where you will apply your in-depth disciplinary knowledge to contribute to the development of new techniques and processes within the designated area. You will integrate subject matter expertise and industry knowledge to enhance workflows and processes. Your role will require a comprehensive understanding of how different areas interconnect within the sub-function, aligning with the function's objectives and overall business goals. As a seasoned professional, you will evaluate moderately complex issues with significant potential impact, weighing various alternatives using multiple sources of information. Your analytical skills will be essential to filter, prioritize, and validate complex and dynamic material effectively. Strong communication and diplomacy skills are crucial, and you will often take on leadership roles within teams, providing coaching and training to new team members. Your influence will have a significant impact on projects, geography, and overall team performance within the area of specialization. Responsibilities: - Work with large and complex data sets to evaluate, recommend, and support business strategies - Identify and compile data sets using tools like SQL and Access to predict, improve, and measure key business outcomes - Document data requirements, collection, processing, cleaning, and exploratory data analysis, including utilizing statistical models and data visualization techniques - Specialize in marketing, risk, digital, and AML fields - Assess risks in business decisions while upholding compliance with laws and regulations Qualifications: - Minimum of 7 years of experience - Proficiency in data retrieval and manipulation - Advanced analytical and problem-solving skills to address business questions innovatively - Ability to build partnerships with cross-functional teams - Experience in a quantitative field, preferably in the Financial/Credit Card industry - Willingness to learn and a can-do attitude - Excellent communication, interpersonal, organizational, and detail-oriented skills Education: - Bachelor's/University degree or equivalent experience Please note that this job description offers an overview of the primary responsibilities associated with the role. Other job-related duties may be assigned as necessary. If you require a reasonable accommodation due to a disability to utilize our search tools or apply for a career opportunity, please review the Accessibility at Citi guidelines. For more information on Citigroup's EEO Policy Statement and your rights, please refer to the respective policies and posters.,

As a Data Science Manager, you will be responsible for implementing the complete analytical section of the product based on the defined functional scope. This includes extracting, collating, and cleansing data from various entities, identifying suitable databases for data storage, and implementing industry-standard statistical models with Machine Learning and Deep Learning algorithms. You will be expected to identify meaningful insights from data sources, interpret findings, and communicate them to the product manager to derive business strategies. In this role, you will visualize various dimensions of data for web and mobile platforms, showcase output through demos and prototypes, and continuously refine models for accuracy. You will also analyze trends in Data Sciences, Machine Learning, Artificial Intelligence, and Augmented Intelligence, and apply the learnings to the product. Ensuring Quality, Security, Performance, Scalability, Reliability, and Availability are key factors in the implementation of the analytics system will be crucial. Your qualifications should include a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field, along with 5-7 years of experience in data science. Proficiency in statistical modeling, machine learning, deep learning algorithms, Python or R programming languages, and experience with SQL/NoSQL databases and big data technologies are essential. Familiarity with data visualization tools and experience with Large Language Models (LLMs), Retrieval Augmented Generation (RAG) pipelines, and vector databases would be highly desirable. Excellent communication and interpersonal skills are required to interpret and present complex data insights to non-technical stakeholders. You should have the ability to work independently and collaboratively in a fast-paced environment. Experience in the banking domain would be an added advantage. Stay up-to-date with advancements in AI, including emerging LLM architectures and agentic AI frameworks and technologies to enhance your performance in this role.,

As an Officer/Analyst in the Data Science Team at Analytics & Information Management (AIM) in Gurugram, you will play a crucial role in developing and implementing advanced analytical solutions to support key business objectives. Your responsibilities will include supporting the model validation process for Model Risk Management, developing and implementing automated solutions to manage the increasing volume of models, overseeing the development of predictive models and machine learning algorithms, and documenting data requirements, data collection, processing, cleaning, and exploratory data analysis. You will also be responsible for interfacing between business and technology partners for digitizing data collection, providing technical guidance and support in areas like knowledge graph development and data extraction, and communicating findings and recommendations to senior management. It will be essential for you to stay current with the latest trends and technologies in data science and analytics, ensure compliance with data governance policies and regulatory requirements, and work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. To excel in this role, you should have at least 5 years of experience in Data Science roles, a strong understanding of statistical modeling, machine learning, and data mining techniques, and proven ability to translate complex data into actionable insights. Experience in developing and deploying AI solutions, interacting with senior stakeholders, and managing end-to-end conceptualization and implementation of data science solutions will be beneficial. An educational background in STEM at the Bachelor's level (Master's degree preferred) is required. Your role as an Officer/Analyst in the Data Science Team will involve contributing significantly to the bank's success by leveraging advanced analytical skills within a specialized domain, integrating subject matter and industry expertise, and ensuring the volume, quality, timeliness, and delivery of end results. You will be expected to exhibit creative problem-solving skills, thought leadership in financial/business analysis, and a deep understanding of various financial service business models. If you are excited about growing your career in data science and analytics, and contributing to a data-driven culture, we encourage you to apply for this role at Citigroup.,