Senior Data Scientist - Classical Machine Learning

Job description

We are looking for a **Senior Data 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: - **Demand Forecasting** - **Price Optimization** - **Inventory Optimization / Supply Chain Analytics** - 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:** - Masters or PhD 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.