Back
Tier-1 brand, mid-level (4–8 yrs), popular Data Scientist title, and metro location raise competition.
Requires ML, Databricks, Azure, and MLOps expertise, making cross-industry fit moderately sensitive.
Explicit 4–8 years and mandatory Databricks, Azure, SQL, Power BI, and MLOps skills increase selectivity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and execute advanced machine learning projects to provide predictive and prescriptive analytics within Transformer Business Unit.
Design and maintain scalable ML models and data pipelines ensuring model transparency, performance stability, and ethical governance.
Collaborate with cross-functional teams to translate business challenges into AI-driven solutions with measurable ROI and visualize insights for executive decisions.
Bachelor’s degree in computer science, data science, or related quantitative discipline.
4–8 years of progressive experience in Data Science and Advanced Analytics.
Expertise in Statistical Modeling, Machine Learning, Complex SQL, Databricks (PySpark/Spark SQL), Azure stack (Databricks, Synapse, ADF, Azure ML Studio), Python (Scikit-Learn, Pandas, NumPy), and Power BI.
Work Experience Required: 4–8 years in Data Science and Advanced Analytics.
Experienced in end-to-end BI project management and MLOps principles within Agile frameworks.
Strong domain knowledge in Data Science with ability to handle large-scale data processing and collaborate across diverse teams.
Skilled at maintaining data accuracy, troubleshooting ML models, and ensuring compliance with regulations and AI governance best practices.