Data Scientist - Classical ML

Senior Data Scientist

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