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Mid-level Data Scientist in Chennai with common ML/SQL skills yields high applicant competition.
Skills are moderately transferable across industries but require ML and production deployment experience.
Explicit 4–7 years and mandatory ML, SQL, Docker, AWS, and deployment skills increase shortlisting strictness.
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Analyze structured and unstructured data to build and deploy machine learning models.
Design and execute A/B testing experiments and translate findings into clear stakeholder recommendations.
Collaborate cross-functionally and work with data engineering to operationalize models and pipelines.
4–7 years of data science experience.
Proficiency in SQL and Excel.
Experience with production engineering tools including Git and Docker.
Working knowledge of AWS Cloud and foundational machine learning (regression, classification, optimization).
Experienced in applying ML models in production environments with knowledge of engineering best practices.
Capable of collaborating across teams to deliver actionable insights and scalable solutions.
Skilled in designing experiments (A/B testing) and communicating technical results to stakeholders effectively.