595 Statistical Analysis Jobs - Page 2

As a Quantitative Researcher at Sovereign Global, a financial boutique based in New Delhi, India, you will be part of a team specializing in fixed income and equity services for HNIs, institutions, and family offices. We are expanding and establishing a sophisticated systematic trading desk to drive cutting-edge research and develop high-impact trading strategies across multiple asset classes. You will have the opportunity to pioneer the future of quantitative finance with us. In this role, you will be the second Quantitative Researcher on a small yet impactful team of four. Your responsibilities will include conducting in-depth research to discover new alphas, designing, back testing, and optimizing trading strategies, as well as developing efficient execution methodologies. You will work closely with the quant team and developers to convert research insights into actionable, profitable strategies. Key Responsibilities: - Conduct in-depth research to discover new alphas that exploit market inefficiencies systematically. - Design, back test, and optimize trading strategies using quantitative techniques to maximize performance and minimize risk. - Develop efficient execution methodologies aligned with the firm's strategies, leveraging low-latency infrastructure where necessary. - Analyze large datasets, develop insights, and use statistical methods to improve existing strategies or develop new ones. - Ensure robust validation of models and strategies, including stress testing and risk assessment. - Collaborate with software engineers to integrate research models seamlessly into the trading infrastructure. - Continuously monitor and evaluate strategy performance, making adjustments as needed to enhance profitability. - Stay updated on the latest academic research and market trends to keep strategies competitive. Qualifications: - Advanced degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Financial Engineering). - Strong proficiency in Python; familiarity with C++ is advantageous. - Experience in quantitative research, alpha generation, and systematic trading strategy development. - Proficiency in statistical analysis, machine learning, and data science techniques. - Ability to work with large datasets and develop data pipelines. - Collaborative mindset with strong communication skills for working closely with software developers and traders. What We Offer: - Growth Potential: Join at an early stage and grow with the firm, playing a key role in shaping our quant trading capabilities. - Ownership & Profit Sharing: Opportunity for equity and profit sharing as part of a growing, high-impact team. - Innovative Environment: Work in a dynamic, innovation-driven environment where new ideas are highly valued. - Collaborative Culture: Collaborate with top professionals in finance, technology, and quantitative research. If you are passionate about quantitative finance and thrive in a collaborative, innovative environment, we encourage you to reach out and explore this exciting opportunity with us at Sovereign Global.,

As a Performance Analysis Engineer for solar PV plants, your main responsibility will involve conducting in-depth performance analysis of operational solar PV plants. This includes analyzing and developing wind resource meteorological files for various simulation software such as Windographer, WASP, Windfarmer, OpenWind, and WindSim. You will also be responsible for analyzing and developing solar resource meteorological files for simulation software like PVsyst, PVlib, SAM, and Plant Predict. Furthermore, your role will encompass analyzing energy production data from both wind and solar projects, including comparing operating data with modelled data and conducting downtime analyses. You will also be tasked with performing statistical analysis of long-term energy yields and conducting qualitative and quantitative data analysis using Python and Excel. In addition, you will be responsible for evaluating the performance of various components such as WTGs, PV arrays, power electronic devices, and electrical equipment based on recorded SCADA data. You will also be involved in optimizing the technology and design of wind farms, solar PV plants, and wind-solar hybrids using analytical methods. This includes evaluating key equipment forming a wind farm or solar PV plant and computing Bill of Quantities from basic designs and layouts. Another aspect of your role will involve reviewing test procedures for plant acceptance proposed by the test party and evaluating the performance of wind projects. Your expertise in performance analysis and optimization will be crucial in ensuring the efficient operation and performance of solar PV plants.,

As an Information Management Specialist at Global Fincorp in C-Scheme, Jaipur, Rajasthan, you will be a crucial member of the finance team responsible for analyzing and interpreting financial data to facilitate key business decisions. Your role will involve leveraging your expertise in financial metrics, analytical tools, and data visualization techniques to transform raw data into actionable recommendations for financial forecasting, budgeting, and strategic planning. Your responsibilities will include collecting, organizing, and maintaining large volumes of financial data from various sources such as Cibil, leading banks, and loans. You will ensure data integrity and accuracy through regular audits and validation checks. By analyzing historical financial data, you will identify trends, anomalies, and patterns to generate forecasting models predicting revenue, expenses, and financial growth. Utilizing tools like Power BI, Tableau, and Excel, you will create interactive dashboards, charts, and visual reports for business intelligence and data visualization. Your ability to present insights and data findings clearly to non-technical stakeholders will be essential. Additionally, you will develop and track key performance indicators (KPIs) to evaluate financial performance, analyze financial performance against benchmarks, and collaborate with other departments to align financial data with business objectives. To qualify for this role, you should hold a Bachelor's degree in Finance, Accounting, Economics, Statistics, or a related field. A Master's degree or professional certification would be advantageous. With at least 4 years of experience in data analysis, particularly in finance, accounting, or economics, you should be proficient in data visualization tools like Tableau, Power BI, or Excel. Strong analytical, problem-solving, and critical thinking abilities are essential, along with proficiency in Excel and other spreadsheet-based tools. Your excellent communication skills, attention to detail, and ability to work under pressure will be crucial in presenting data findings to technical and non-technical stakeholders. The ability to collaborate across functions, identify process improvements, and stay updated with financial trends and best practices are also key attributes for success in this role. If you have experience in the financial services industry or with financial institutions, it will be considered a plus. Both male and female candidates are encouraged to apply for this full-time position, which offers a competitive salary and benefits package based on experience. The work location is in person, with day shift and fixed shift schedules available. Cell phone reimbursement is among the benefits provided by the company.,

As a CX Data Analyst at our company, you will play a crucial role in gathering reporting requirements and documenting processes across various CX areas such as Client Services, Service Operations, Implementation Services, and more. Your responsibilities will include analyzing business processes, making recommendations based on data analysis, and translating departmental requirements into actionable measurements and reporting tools. You will collaborate with CX leadership to identify areas of impact on reporting and processes, provide verbatim commentary on data trends, and communicate any discrepancies to ensure internal problem-solving and alignment. Your role will also involve reviewing and updating processes to align with industry standards, developing a communication strategy for trend indicators, and ensuring compliance with state and federal legislation such as HIPAA. Additionally, you will work on generating learning resources, aligning reporting changes with QA conditions, and compiling data for associate performance metrics. Embracing continuous improvement and innovation within the CX area will be a key aspect of your responsibilities. To be successful in this role, you should have a Bachelor's Degree in a related field and at least 2 years of experience in data analysis or business intelligence. Advanced proficiency in tools like Microsoft Excel, SQL, and data visualization tools such as PowerBI is required. Strong communication skills, attention to detail, and the ability to work with large data sets are essential. Experience in a fast-paced environment and knowledge of statistical analysis, database design, and agile development environments are also important. Preferred skills include experience in healthcare technology or call center operations, as well as familiarity with tools like Tableau. The work environment may require additional effort outside standard hours, and the ability to work US east coast hours is preferred. Adherence to workspace privacy guidelines and a commitment to diversity, equity, inclusion, and belonging are important aspects of our company culture. Zelis offers industry-leading healthcare benefits, mental well-being resources, savings & investments, educational resources, and opportunities for networking. We are committed to diversity and equal employment opportunities, encouraging candidates from underrepresented communities to apply. If you require accessibility support during the application process, please reach out to TalentAcquisition@zelis.com. Please note that there is an active employment scam using the Zelis name, and we never ask for money or credit card details during the recruitment process. Be cautious of any suspicious email activity and ensure that any contact from a Zelis representative is legitimate.,

You are a highly skilled and experienced Senior Tableau Developer who will be joining our growing data visualization team. Your role will involve creating compelling and insightful dashboards and visualizations to transform complex data into actionable insights for business stakeholders. Your responsibilities will include designing, developing, and maintaining interactive Tableau dashboards and visualizations, connecting to various data sources, performing data modeling and transformation, creating complex calculations, parameters, and calculated fields, developing and maintaining Tableau Server workbooks and data sources, collaborating with business stakeholders to gather requirements, selecting and implementing appropriate statistical methods and visualizations, providing training and support to end-users, staying up-to-date with the latest Tableau features and best practices, contributing to the development of data visualization standards and guidelines, performing performance tuning and optimization of Tableau dashboards, troubleshooting and resolving Tableau-related issues, and mentoring junior Tableau developers. To qualify for this role, you should have a Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field, along with 5+ years of experience developing Tableau dashboards and visualizations. You should have advanced proficiency in Tableau Desktop and Server, a strong understanding of statistical concepts and methods, experience with data warehousing concepts and relational databases, and excellent analytical and problem-solving skills. Additionally, you should have the ability to communicate complex technical and statistical concepts to non-technical audiences, strong collaboration and communication skills, and experience with other data visualization tools like Power BI and Qlik Sense. If you have Tableau certification, it will be considered a plus.,

As a Business Intelligence Advisor at NTT DATA in Pune, Maharashtra, India, you will be responsible for utilizing your analytical, statistical, and programming skills to collect, analyze, and interpret large volume data sets. Your main objective will be to develop data-driven solutions for addressing challenging business issues. Additionally, you will monitor, analyze, and report on business performance, financial results, and other key performance indicators defined by the business. Your responsibilities will include analyzing spending patterns, identifying cost-saving opportunities, and providing actionable insights to enhance decision-making processes. You will collaborate with cross-functional teams, interpret data trends, and develop dashboards or reports to effectively communicate your findings. Understanding user requirements and translating complex data into user-friendly reports ensuring data accuracy will be a crucial part of your role. Moreover, you will create visually compelling and insightful reports and interactive dashboards by connecting tools like Tableau or Power BI to SQL and Snowflake. You will lead or participate in multiple analytical projects, conduct exploratory data analysis to uncover trends and insights, and apply statistical techniques to solve business problems. Utilizing Python libraries such as Pandas, NumPy, and Matplotlib for data analysis, visualization, and modeling will also be part of your responsibilities. Furthermore, you will automate data processing and analysis workflows using Python, perform spend analysis by gathering, cleansing, and transforming procurement spend data, and ensure data quality check and correction. Staying updated on industry trends, optimizing BI tools, writing optimized SQL & Snowflake queries, designing workflows in Alteryx Designer, and creating anomaly detection systems will also be within your scope of work. In terms of technical skills and competencies, you must have experience in business analytics or spend analytics projects, the ability to manage multiple tasks simultaneously, strong relationship building and communication skills, high proficiency in Microsoft Excel, and visualization capabilities in Power BI/Tableau. Knowledge about Alteryx Designer and Snowflake is preferred along with experience in requirements gathering, analysis, and defining implementation roadmaps. You should hold a Bachelor's degree in information science, Computer Science, Mathematics, Statistics, or a quantitative discipline, with an advanced degree being preferred. A minimum of 10-15 years of work experience in data management and analysis, including at least 5 years in procurement data management and spend analysis, is required. Demonstrated experience in Python programming, data architecture, data integration/ETL, and reporting/visualization tools is essential. About NTT DATA: NTT DATA is a global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts worldwide and offers services in business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is part of NTT Group, investing over $3.6 billion annually in R&D to support organizations and society in their digital transformation journey. Visit us at us.nttdata.com.,

The role and responsibilities include analyzing and developing meteorological files for simulation software. You will also analyze energy production data from PV projects, comparing operating versus modeled data and conducting downtime analyses. Statistical analysis of Long-Term Energy Yields is another key aspect of the role. You will work on energy and capacity optimization of Hybrid Projects and their integration with storage solutions. The role involves scientific computing, simulation, and optimization in Renewable Energy Systems, focusing on Solar, Wind, and BESS Systems. Furthermore, you will be responsible for modeling, simulating, and optimizing PV, BESS, and Windfarms. Detailed techno-commercial assessments of cells, batteries, racks, PV modules, inverters, and converters are part of the job description. The role includes analyzing data recorded in data loggers and SCADA systems and conducting qualitative and quantitative data analysis using Python and Excel. Additionally, you will perform performance analysis of Individual Components such as Arrays, Inverters, Converters, Cells, Battery Racks, and Energy Meter Data. Technology and Design Optimization of PV Plants using Analytical Methods is a key responsibility. You will also be involved in developing tools and scripts for automating various tasks using Python, VBA, etc. Other responsibilities include reviewing the initial PV system concept of plant layout, supporting due diligence for solar PV projects, reviewing performance ratio test procedures for plant acceptance, and staying informed about new product technology developments to communicate with colleagues. Supporting SgurrEnergys solar PV business development activities and conducting site visits in India and abroad are also part of the role.,

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).,

The Apex Group is a leading fund administration and middle office solutions provider that was established in Bermuda in 2003. With a global reach and local service capabilities, we are dedicated to delivering exceptional services to our clients. Our team of over 13,000 employees across 112 offices worldwide is committed to driving growth and innovation. At Apex Group, we value your energy and passion, and we are here to empower and support you in your career journey. As a Lead Data Analyst at Apex Group, you will be responsible for spearheading our data analytics initiatives and providing technical expertise to the team. Your role will involve shaping data analytics products, designing analytical frameworks, and driving innovation in data analysis methodologies. Working closely with senior leadership, cross-functional teams, and stakeholders, you will play a key role in identifying business opportunities, offering strategic insights, and guiding data-driven initiatives. **Responsibilities:** - Develop and implement data analytics strategies aligned with organizational goals. - Identify data-driven opportunities to optimize business performance and achieve strategic objectives. - Collaborate with senior leaders to define analytical requirements and establish key performance indicators. - Design and implement advanced analytical models and algorithms to extract insights from complex data sets. - Provide thought leadership in data analysis, statistical modeling, and machine learning techniques. - Maintain data governance frameworks and data quality standards to ensure accuracy of data assets. - Lead cross-functional teams in designing data visualizations, dashboards, and reports. - Stay updated with emerging trends and technologies in data analytics. - Mentor junior analysts and support their professional growth. - Collaborate with data engineering teams to ensure efficient data collection and integration. - Present complex findings and recommendations to senior leaders in a clear and compelling manner. - Promote a data-driven culture within the organization. **Requirements:** - Bachelor's degree in a quantitative field; Master's or Ph.D. preferred. - 10 years of experience as a Data Analyst, with significant experience in a senior role. - Proficiency in SQL and programming skills in Python/R. - Knowledge of statistical analysis techniques and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Strong understanding of database structures and data governance principles. - Exceptional analytical, problem-solving, and leadership skills. - Excellent communication and presentation abilities. - Ability to work independently and manage multiple projects effectively. **Preferred Qualifications:** - Experience in cloud platforms and big data technologies. - Familiarity with data science platforms and libraries. - Business acumen and experience in leading cross-functional teams. Location: Bangalore - North, India,

About the Company: We are one of India's premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. Our expertise lies in providing strategic advice and implementation services that merge data-backed insights with in-depth ground intelligence to create comprehensive electoral campaigns. With a deep passion for democracy and the impact of politics on our world, we have assembled a team of exceptional individuals from prestigious institutions and diverse professional backgrounds. Together, we bring 7 years of experience in developing electoral strategies that initiate conversations, drive change, and influence the electoral and legislative landscapes of our country. Job Summary: We are currently looking for a detail-oriented and methodical Statistical Analyst/Statistician to join our analytics team. The ideal candidate will play a crucial role in collecting, analyzing, and interpreting quantitative data to facilitate strategic decision-making processes. This position involves developing statistical models, conducting simulations, and generating reports and visualizations to extract insights that inform organizational priorities. Additionally, the candidate will be expected to share data-driven insights through reporting and publications. Key Responsibilities: - Collect, clean, and prepare extensive datasets from various sources for analysis. - Utilize statistical methods and models (e.g., regression, hypothesis testing, inference building, panel, categorical, multilevel models) to analyze trends, patterns, and make forecasts. - Interpret and effectively communicate complex data findings and forecasts to non-technical stakeholders. - Create and maintain dashboards, forecasts, and ad hoc reports. - Assist in survey design and evaluation processes, including sampling, weighting, and post-stratification if applicable. - Collaborate with data engineers, subject matter experts, and decision-makers to define analysis goals. - Ensure the accuracy, integrity, and privacy of all processed data. Required/Minimum Qualifications: - Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Economics (Econometrics), or a related quantitative field. - Proficiency in Microsoft Excel, Word, and G-Suites is essential. - Proficiency in statistical software, with preference for R/SPSS. - Strong understanding of statistical concepts and modeling, including linear and logistic regression, ANOVA, Time-Series Modeling, and Bayesian methods. - Experience working with large datasets and relational databases, with consideration for both graduate and undergraduate experiences. - Excellent analytical, problem-solving, and organizational skills. - Strong communication skills, especially in translating data for non-technical audiences. Preferred Qualifications: - Demonstrated ability to manage multiple large datasets concurrently for hypothesis building and inference testing. - Academic excellence or research experience in quantitative fields like econometrics, finance, mathematics, Bayesian statistics, etc. - Experience in model building using Python, R will be advantageous. - Proficiency in query writing and data automation tasks (SQL, VBA, etc.) is a plus. - Ability to independently handle multiple projects and meet the key requirements of internal stakeholders. - Previous experience or postgraduate exposure to publishing academic research is favorable. Location: BLR - 4th Floor, VK Kalyani Commercial Complex, Opp to BDA Sanky Road, Bangalore, 560021.,

You should have proficiency in C, C++, Python, Data structures and Algorithm, Machine Learning, Artificial Neural Network, Statistical Analysis, SQL, DBMS, OOPs, NumPy, Pandas, Matplotlib, Sklearn, and Hugging Face. It is essential to possess excellent communication and interpersonal skills. The location for this position is Gurgaon. The ideal candidate should have a qualification of BCA / MCA / B-tech and must have 2 to 4 years of experience. This job falls under the IT Software industry type.,

You will be joining the leading provider of professional services to the middle market globally, with a purpose to instill confidence in a world of change, empowering clients and people to realize their full potential. The exceptional people at RSM are the key to an unrivaled, inclusive culture and talent experience, making us compelling to our clients. At RSM, you will find an inspiring and empowering environment that supports your personal and professional growth. In this role, you should have 3-6 years of data analytics experience, with a focus on procurement and/or supply chain. Your responsibilities will include analyzing data sets, such as performing ratio analysis, statistical analysis, and presenting complex analysis using charts and graphs. Experience with Alteryx and SQL is preferred, along with the ability to extract data from client CRM and ERP systems like Salesforce, Netsuite, and Microsoft Dynamics. You should have hands-on experience with Power BI and be skilled in building models in Excel, including financial models. Additionally, you will be expected to manage, coach, and develop team members by providing timely feedback and contributing to recruitment and retention efforts. Strong communication, project management, and organizational skills are essential, as well as the ability to build client relationships. Attention to detail, problem-solving skills, and the ability to work independently and in a team are crucial for success in this role. Flexibility in timing is required, with the ability to support until Noon EST. An interest in Industrials and Consumer Products industries is a plus. RSM offers a competitive benefits and compensation package, along with schedule flexibility to help you balance work and personal life. Learn more about our total rewards at https://rsmus.com/careers/india.html. Applicants with disabilities can request accommodation during the recruitment process or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you need assistance to complete an application or participate in the recruiting process, please email us at careers@rsmus.com.,

As a Consultant - Proposal at WSP, you will play a crucial role in developing and crafting content for various marketing deliverables, including proposals, discussion papers, grants, and collateral. Your primary responsibility will be to convey technical information in a clear and concise manner while effectively narrating our story to potential clients. You will be tasked with providing copy editing, proofreading, and final reviews for proposals and marketing materials, ensuring that the content meets specified page limitations. Additionally, your role will involve conducting in-depth research, analyzing statistical reports, and interviewing technical staff to gather necessary information for proposals and presentations. Collaboration and teamwork are key aspects of this role, as you will leverage resources across the organization to support pursuit stages and differentiate WSP in the eyes of clients. You will also contribute to the development of key messages, value propositions, and differentiators to enhance the overall quality of proposals and presentations. In addition to traditional writing approaches, you will be encouraged to explore and implement new technologies and innovative digital tools to enhance the quality and impact of proposals and presentations. Your strategic mindset, critical thinking abilities, and proficiency in various software programs like Microsoft Office, Adobe Creative Suite, and SharePoint will be essential in fulfilling your responsibilities. As an ideal candidate for this role, you should possess a Bachelor's degree, with a preference for a degree in Engineering, journalism, or English. A minimum of 5 years of relevant work experience is required, along with a French competency level of B2. Your strong communication skills, ability to work under tight deadlines, and adherence to journalistic writing styles will be critical in delivering compelling content that resonates with the target audience. Above all, you should be a self-motivated team player with a proactive mindset, capable of multitasking and demonstrating cultural awareness and openness. Your dedication to maintaining quality, compliance, and sales messaging in pursuit-related materials will contribute to the success of WSP's proposals and marketing initiatives.,

You will be joining our Analytics team as a Consultant or Senior Consultant with a focus on Marketing Mix Modeling (MMM). Your primary responsibility will involve leading projects to evaluate the impact of marketing and business activities on sales and ROI. By leveraging statistical and econometric methods, you will provide actionable insights, automate solutions, and facilitate strategic decision-making across various industries. Your key responsibilities will include managing client data processing and project delivery for MMM engagements, utilizing econometric modeling techniques to evaluate marketing campaigns, interpreting complex data to derive business recommendations, delivering findings through client-tailored presentations, collaborating with cross-functional teams, conducting R&D for modeling enhancement, automating tasks using tools like VBA, R, or Python, contributing to advanced analytical frameworks and models, and ensuring consistency in project deliverables. The ideal candidate will possess a graduate degree in Economics, Business, Statistics, Mathematics, Operations Research, Industrial Engineering, Quantitative Analysis, or a related field, with 2-4 years of relevant experience in Marketing Mix Modeling. Proficiency in econometric modeling, statistical analysis, programming languages (R, Python, SAS), Excel, PowerPoint, automation tools, and excellent communication skills are essential. Additionally, strong project management capabilities, problem-solving skills, a proactive attitude, and the ability to work independently and collaboratively are required. Exposure to other analytics domains such as pricing, forecasting, or customer analytics would be advantageous.,

The Assistant Breeder Maize will be responsible for supporting the maize breeding program in the development, evaluation, and release of improved maize hybrids and varieties. Your role will encompass a variety of tasks including field and lab work, data collection and analysis, coordination of trials, and the maintenance of breeding nurseries. Your key responsibilities will include assisting in the planning and execution of breeding trials, such as hybrid evaluations and yield trials. You will also be involved in supporting the development and upkeep of nurseries, crossing blocks, and seed production plots. It will be crucial for you to collect, record, and manage accurate phenotypic and agronomic data, as well as help in the statistical analysis and interpretation of research data. In addition, you will need to coordinate and monitor field activities with technical staff and contract growers, assist in maintaining germplasm inventory and seed processing activities, and ensure that all work complies with biosafety, regulatory, and company guidelines. Furthermore, your contribution to report writing, documentation, and research publications will be valued. This is a full-time position with benefits including internet reimbursement, leave encashment, life insurance, and provident fund. The work location for this role is in person.,

As the leader of the Research and Development (R&D) team, you will be responsible for driving the conception and implementation of innovative business solutions in predictive and prescriptive analytics. You will be tasked with building capabilities, standards, and frameworks to facilitate the efficient and seamless adoption of predictive and prescriptive analytics and visualization within the organization. Active collaboration with academic institutions is encouraged, with a preference for candidates holding a PhD in Computer Science. Your role will require a good working knowledge of Big Data and NoSQL technologies, along with a deep understanding of statistical (regression analysis, cluster analysis, optimization techniques) and computational techniques (machine learning, natural language processing, graph or social network analysis, neural nets, simulation modeling). You should possess the skills to identify and apply the most appropriate techniques for different problem categories, as well as the ability to effectively communicate the business value to stakeholders. Proficiency in visualization techniques and tools, as well as familiarity with software development lifecycle methodologies, is essential. A passion for technology and innovation is key, with an emphasis on creating intellectual properties, patents, and conducting research on new and emerging technology trends. Additionally, you should demonstrate the ability to build and lead teams, coupled with excellent interpersonal and consulting skills. Key Skills required for this role include: - Text Analytics Tools: e.g., Open NLP, Stanford NLP - Machine Learning Tools: e.g., Mahout, Weka, R, RapidMiner - Real-time Stream Processing Tools: e.g., Storm - Enterprise Java - Knowledge of Perl, PHP, Ruby, Python, and JavaScript (Desirable) - Good understanding of Hadoop infrastructure The ideal candidate should hold a PhD in Computer Science or Applied Mathematics from a reputable institute, with specialization in a relevant area being a plus. A minimum of 15 years of relevant experience, including at least 7 years in a lead R&D role, is required to excel in this position.,

The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. You must have a solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Your ability to communicate complex data insights to non-technical stakeholders is crucial, including senior management, marketing, and operational teams. You should be meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gathering and cleaning data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns is a key responsibility. Proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn) is a must. Expertise in supervised and unsupervised learning algorithms is also required. You will use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. It would be good to have familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL processes and tools like Apache Airflow to automate data workflows is advantageous. Familiarity with designing scalable and efficient data pipelines and architecture is beneficial. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly is a plus. The ideal candidate should have a strong analytical and statistical skills, expertise in machine learning and AI, experience with retail-specific datasets and KPIs, proficiency in data visualization and reporting tools, ability to work with large datasets and complex data structures, strong communication skills to interact with both technical and non-technical stakeholders, a solid understanding of the retail business and consumer behavior. Programming Languages: Python, R, SQL, Scala. Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras. Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn. Big Data Technologies: Hadoop, Spark, AWS, Google Cloud. Databases: SQL, NoSQL (MongoDB, Cassandra). In this role, you will collaborate with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. You will leverage your deep understanding of the retail industry to design AI solutions that address critical retail business needs. Applying machine learning algorithms to enhance predictive models and using AI-driven techniques for personalization, demand forecasting, and fraud detection are key responsibilities. Staying updated on the latest trends in data science and retail technology is essential. Collaborating with executives, product managers, and marketing teams to translate insights into business actions is also part of your role. About Our Company | Accenture,

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.,

The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. You will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Key Responsibilities: - Leverage Retail Knowledge: Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. - Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. - Use AI-driven techniques for personalization, demand forecasting, and fraud detection. - Utilize advanced statistical methods to optimize existing use cases and build new products to serve new challenges and use cases. - Stay updated on the latest trends in data science and retail technology. - Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills: - Strong analytical and statistical skills. - Expertise in machine learning and AI. - Experience with retail-specific datasets and KPIs. - Proficiency in data visualization and reporting tools. - Ability to work with large datasets and complex data structures. - Strong communication skills to interact with both technical and non-technical stakeholders. - A solid understanding of the retail business and consumer behavior. - Programming Languages: Python, R, SQL, Scala - Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras - Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn - Big Data Technologies: Hadoop, Spark, AWS, Google Cloud - Databases: SQL, NoSQL (MongoDB, Cassandra) Additional Information: - Job Title: Retail Specialized Data Scientist - Management Level: 09 - Consultant - Location: Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata - Company: Accenture This position requires a solid understanding of retail industry dynamics, strong communication skills, proficiency in Python for data manipulation, statistical analysis, and machine learning, as well as familiarity with big data processing platforms and ETL processes. The Retail Specialized Data Scientist will be responsible for gathering, cleaning, and analyzing data to provide valuable insights for business decision-making and optimization of pricing strategies based on market demand and customer behavior.,

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 are a Senior Python Developer with a strong background in backend development and a passion for designing and implementing efficient algorithms. Your main responsibility is to develop, maintain, and optimize core backend systems and services, with a focus on complex algorithms. This role requires a deep understanding of Python, strong problem-solving skills, and the ability to work collaboratively in a fast-paced environment. You will play a key role in designing, developing, and maintaining robust data pipelines, APIs, and data processing workflows. It is essential to work closely with data analysts and business teams to understand data requirements and deliver insightful data-driven solutions. Ideal candidates are passionate about data, enjoy problem-solving, and thrive in a collaborative environment. Experience in the financial or banking domain is a plus. Responsibilities: - Design, develop, and maintain robust and scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka. - Perform efficient data extraction, transformation, and loading (ETL) for large volumes of data from diverse data providers, ensuring data quality and integrity. - Build and maintain RESTful APIs and microservices to support seamless data access and transformation workflows. - Develop reusable components, libraries, and frameworks to automate data processing workflows, optimizing for performance and efficiency. - Apply statistical analysis techniques to uncover trends, patterns, and actionable business insights from data. - Implement comprehensive data quality checks and perform root cause analysis on data anomalies, ensuring data accuracy and reliability. - Collaborate effectively with data analysts, business stakeholders, and other engineering teams to understand data requirements and translate them into technical solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. - 5+ years of proven experience in Python development, with a strong focus on data handling, processing, and analysis. - Extensive experience building and maintaining RESTful APIs and working with microservices architectures. - Proficiency in building and managing data pipelines using APIs, ETL tools, and Kafka. - Solid understanding and practical application of statistical analysis methods for business decision-making. - Hands-on experience with PySpark for large-scale distributed data processing. - Strong SQL skills for querying, manipulating, and optimizing relational database operations. - Deep understanding of data cleaning, preprocessing, and validation techniques. - Knowledge of data governance, security, and compliance standards is highly desirable. Experience in the financial services industry is a plus. - Familiarity with basic machine learning (ML) concepts and experience preparing data for ML models is a plus. - Strong analytical, debugging, problem-solving, and communication skills. - Ability to work both independently and collaboratively within a team environment. Preferred Skills: - Experience with CI/CD tools and Git-based version control. - Experience in the financial or banking domain.,

We are seeking an experienced Senior Data Scientist to be a part of our analytics team and take charge of impactful projects. This role necessitates a profound comprehension of statistical analysis, machine learning, and data-focused strategy, with an emphasis on crafting and implementing innovative analytics solutions to address intricate business requirements. The ideal candidate will possess extensive hands-on experience, robust technical acumen, and demonstrated leadership skills to steer a team of data scientists and machine learning engineers. Your responsibilities will include utilizing advanced statistical techniques to scrutinize extensive datasets, unveiling trends and patterns that bolster data-driven decision-making. You will also be tasked with identifying and outlining use cases that underpin business strategies, leveraging insights from data to create value and direct strategic initiatives. In addition, you will evaluate the data analytics maturity of the organization through descriptive data analysis to assess existing capabilities. You will formulate and present use cases for advanced analytics, encompassing diagnostic, predictive, and prescriptive models to enrich data utilization. As a Senior Data Scientist, you will apply your hands-on proficiency in Python and data science, employing a spectrum of machine learning algorithms for various tasks such as regression, classification, natural language processing (NLP), and operational research. Your role will also involve implementing, enhancing, and managing complex models to ensure scalability and efficacy. Furthermore, you will leverage your expertise in large language models (LLMs) and Retrieval-Augmented Generation (RAG) models to construct sophisticated applications, including chatbots and other NLP-based solutions. Communication is key in this role, as you will be expected to convey intricate analytics insights to stakeholders, lead customer meetings, and propose actionable, data-driven solutions. You will be responsible for developing solutions that align with business objectives by translating business requirements into impactful, data-driven solutions. Encouraging a solution-oriented mindset within the team and concentrating on delivering analytics solutions that enhance decision-making and drive value will be pivotal. Moreover, you will lead a team of data scientists and machine learning engineers, offering mentorship, technical guidance, and project oversight. Ensuring that team projects align with business goals, emphasizing quality and timely delivery, is crucial. To qualify for this role, you should have at least 5-7 years of practical experience in data science, machine learning, and statistical analysis. A proven track record in managing and mentoring a team of data scientists and engineers is essential. Proficiency in Python and essential libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch) is required. Key Skills: - Strong knowledge of machine learning techniques, encompassing regression, classification, NLP, and operational research. - Experience with deep learning, LLMs, and RAG models for advanced applications like chatbot development is highly desirable. - Exceptional problem-solving skills with a focus on delivering actionable business insights. - Excellent communication, presentation, and interpersonal skills. - Ability to work both independently and collaboratively in a fast-paced, dynamic environment.,

As a Data Scientist, you will be responsible for analyzing large and complex datasets to identify trends, patterns, and insights. Your main tasks will include developing and implementing machine learning models for prediction, classification, and clustering using Python libraries such as scikit-learn, TensorFlow, or PyTorch. Additionally, you will perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Your role will also involve designing and implementing data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to effectively communicate insights. Collaboration with cross-functional teams to understand business requirements and translate them into data science solutions is a key aspect of this position. You will also be responsible for building and deploying scalable data pipelines using Python and related tools. To excel in this role, you should have proven experience as a Data Scientist or in a similar role, ideally with 2+ years of experience. Strong programming skills in Python and familiarity with relevant data science libraries such as Pandas, NumPy, and Scikit-learn are essential. A solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques is required. Furthermore, experience in data visualization using Python libraries like Matplotlib, Seaborn, and Plotly is important. You should be adept at working with large datasets, performing data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills are also crucial for success in this role. Excellent communication and presentation abilities are necessary to effectively communicate complex data insights and findings to both technical and non-technical audiences. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area is preferred. Experience with big data technologies like Spark and Hadoop, familiarity with cloud platforms such as AWS, Azure, and GCP, and knowledge of deep learning frameworks like TensorFlow and PyTorch are all valuable assets. Additionally, experience with database technologies (SQL and NoSQL) and deploying machine learning models into production will be beneficial for this role. Stay updated with the latest advancements in data science, machine learning, and Python libraries to continuously enhance your skills and knowledge.,

You will be responsible for overseeing surveillance operations in the Treasury Products domain, with a required experience range of 8-10 years. As the Surveillance Manager, you will need to hold a Graduate or Post-Graduate degree in Mathematics, Statistics, or Finance. Your role will involve exposure to Treasury Products through collaboration with Trading, Risk Management, Analyst, and Strategist Teams. Your primary responsibilities will include monitoring orders and trades on various trading platforms to identify outliers. You will be expected to analyze alerts generated by the Surveillance system and prepare regular reports based on your findings. Proficiency in statistical analysis techniques and data visualization tools is essential for this role. As a Surveillance Manager, you should be tech-savvy and possess a working knowledge of programming and coding. You will be required to conduct data analysis using tools such as Excel, R, and Python, and present insights through data interpretation. You will also engage in regular communication with internal and external teams regarding system development and surveillance-related matters. Additionally, you will be involved in testing systems as per specified requirements to ensure their effectiveness. If you have the necessary qualifications and experience for this role, please feel free to share your resume at lipika.hiresquad@gmail.com or contact us at 8766285530.,

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.,