Senior Data Scientist

Job Position

Years of Exp

Mode of Working

Technical Skills

• Strong hands-on experience with

  PySpark

  and

  Databricks

  data processing and modelling.
• Solid foundation in

  Regression modelling

  ,

  statistical analysis

  , and model performance evaluation.
• Comfortable working with

  SQL

  systems and structured/unstructured data pipelines.
• Proficiency in

  Excel

  for quick analytical checks, and

  PowerPoint

  for developing clear, executive-friendly insights and presentations.
• Strong

  analytical mindset

  and exceptional problem-solving skills to translate data into actionable business strategies.

Good to Have Skills

• Exposure to

  pricing analytics

  or

  revenue management models

  (elasticity, discount simulations, price optimization).
• Fluency in

  retail domain terminologies

  and an understanding of business KPIs.
• Knowledge of

  data visualization tools

  such as Power BI or Tableau.
• Experience with

  Azure Databricks

  workflows or CI/CD-based deployment frameworks.

Soft Skills

• Excellent

  communication and storytelling abilities

  capable of simplifying complex analytics for non-technical stakeholders.
• Demonstrated ability to

  mentor junior team members

  , review deliverables, and guide technical and analytical workstreams.
• Collaborative attitude with the ability to work cross-functionally across data, product, and business teams.