Senior Data Scientist

We are looking for a SeniorData Scientist who is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience in Python, SQL, and advanced machine learning algorithms, along with domain expertise in forecasting, pricing optimization, or inventory planning. You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies.

Key Responsibilities:

·      Design, build, and deploy predictive and optimization models for use cases such as demand forecasting, dynamic pricing, or inventory optimization.

·      Translate business problems into analytical frameworks and provide actionable insights.

·       Build and maintain scalable data pipelines and model workflows using Python and SQL.

·       Collaborate with data engineers to ensure model integration into production systems.

·       Present findings and recommendations to leadership using data visualizations and storytelling.

·      Stay current with the latest techniques in machine learning, statistics, and operations research.

·       Lead and mentor junior data scientists and analysts when required.

Required Skills and Experience:

·       5+ years of experience in a Data Science or Analytics role with a strong business impact.

·       Strong programming skills in Python (pandas, scikit-learn, statsmodels, etc.).

·       Proficiency in SQL for data extraction, transformation, and manipulation.

·       Deep understanding of machine learning algorithms (regression, classification, clustering, time series forecasting).

·       Experience with one or more of the following domains:

     o   Demand Forecasting

     o   Price Optimization / Price Elasticity / Revenue Growth Management

     o   Recommendation

     o   Causal Inference

·       Strong problem-solving and quantitative skills.

·       Experience working with large datasets and distributed computing tools (e.g., Spark, Hadoop) is a plus.

·       Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).

Preferred Qualifications:

·    Master's or PhD or Engineering (BE/Btech) in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related field.

·       Experience in retail, e-commerce, manufacturing, or logistics is a strong plus.

·       Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) is a bonus.

·       Experience deploying models using MLOps tools or platforms is a plus.