Senior Data Scientist (7-11 yrs)

- This role is one of the first senior members of the pioneering team here at company for building best in class learning experiences for mass market India.

- So its a hands on role at the same time chance to build and grow further as the product grows.

Responsibilities:

Data Preparation and Understanding:

- Prepare and manage data for project plans, proactively detect changes, and communicate updates to senior leads. Develop usable data sets, contribute to data ethics and privacy policies, and engage with customers about data integrity and cleanliness.

- Evaluating for Insight and Impact : Own end to end product metrics for AI/ML initiatives

- Ensure models align with business goals, evaluate their effectiveness, design feedback methods, mentor engineers, and present findings to stakeholders.

Modeling and Statistical Analysis:

- Use machine learning solutions and algorithms to identify the best approach for objectives. Understand and apply modeling techniques, manage data quality, and communicate findings to stakeholders.

- Write scripts in T-SQL, U-SQL, KQL, Python, and R. Construct hypotheses, design experiments, analyze results, and communicate effectively.

- Develop scalable operational models with data engineering teams.

- Exposure to Open AI / GPT4 is a must. Any additional exposure to Gemini/Llama would be great to have.

- Be involved in hands on implementation of building and tuning these models

- Help the Solution Architect and provide guidance on model operationalization that is built into the project approach using existing technologies, products and solutions, as well as established patterns and practices.

- Setup the ML ops pipeline with the engg team

Background:

- 5-7 years of experience in building ML models and deploying them at some scale

- B.Tech/B.E./MSc./MBA in engineering, maths, or statistics from top college

- PhD is an added plus (not mandatory)

- Expertise in Python, SQL, object-oriented programming, and machine learning libraries

- Knowledge of statistics, machine learning, AI, and NLP tools and techniques

- Knowledge of Git, CI, Spark, AWS ,and data pipelines