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Mid-level, generalist Senior Data Scientist in Bangalore with broad ML/MLOps requirements increases candidate competition.
Core ML and data skills transfer across industries, though some projects prefer domain-specific experience.
Explicit 4–10 years plus mandatory Python, SQL, Spark and ML skills create moderate filtering.
Design, build, and operationalize statistical and machine learning models for real business problems from exploratory analysis to production-quality solutions.
Acquire, clean, and process large-scale or distributed data, including feature engineering and deploying models into production pipelines with monitoring.
Collaborate with varied stakeholders to deliver analytical solutions and present findings clearly to technical and non-technical audiences, adhering to responsible AI and data governance practices.
4–10 years of relevant experience in Data Science, Machine Learning, or closely related analytics.
Strong programming skills in Python (or R) and proficiency in SQL, including experience with distributed data platforms such as Spark or Databricks.
Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field.
Location: Bengaluru, Karnataka, India; Employee Type: Permanent; Work Experience Required: 3-5 years explicitly mentioned in job snapshot.
Experienced with large-scale data environments and capable of end-to-end model development including operational deployment and monitoring.
Ability to work cross-functionally with business, product, engineering, risk, or compliance teams to translate complex data insights into actionable business decisions.
Familiar with responsible AI governance, security practices, and collaborative development workflows (e.g., version control with Git).