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Senior Data Scientist - PySpark/Azure Databricks

Infiniti Research Marketing Solutions India Priva
Anywhere in India/Multiple Locations
5 - 8 Years

Posted on: 10/12/2025

Job Description

Job Position : Senior Data Scientist

Years of Exp : 5+ Yrs

Mode of Working : Remote [Travel to Chennai office 1 week every 3 months]

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.

Key Responsibilities :


- Design, develop, and optimize data processing and modeling pipelines using PySpark and Databricks.

- Build statistical and regression models to support business decision-making and performance optimization.

- Analyze structured and unstructured datasets to extract actionable insights and translate findings into clear business recommendations.

- Write complex SQL queries and manage end-to-end data workflows.

- Create concise analytical summaries using Excel and develop executive-level presentations using PowerPoint.

- Collaborate with cross-functional teams (Data Engineering, Product, Business) to understand business needs and deliver analytical solutions.

- Mentor junior data scientists, conduct code reviews, and oversee analytical workstreams.

- Ensure high-quality deliverables through strong problem-solving, critical thinking, and data storytelling abilities.


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