Data Science Engineer

Key Skills: Data Science, Machine Learning, AI, Statistical Modeling, A/B Testing, Data Analysis, Data Modeling, Experimentation, Production ML Systems, Advertising Analytics

Roles & Responsibilities:

• Lead and mentor data scientists and ML engineers.
• Develop scalable machine learning models and data pipelines.
• Translate business problems into data science solutions.
• Build predictive models for advertising and business optimization.
• Drive innovation in forecasting, targeting, pricing, and ad delivery.
• Design and analyze A/B testing experiments.
• Define and monitor product and model performance metrics.
• Establish dataset creation, labeling, and evaluation processes.
• Deliver actionable insights and recommendations to stakeholders.
• Collaborate with product, engineering, and business teams.
• Ensure deployment and monitoring of production ML solutions.
• Drive best practices in data science, analytics, and experimentation.

Experience Required:

• 10-12 years of experience in Data Science and Machine Learning.
• Minimum 2 years of experience managing data science teams.
• Strong expertise in Machine Learning and AI model development.
• Deep understanding of statistics, data analysis, and modeling techniques.
• Experience designing and evaluating A/B tests.
• Hands-on experience with dataset creation, labeling, and evaluation.
• Experience building and deploying production ML solutions.
• Strong analytical and problem-solving skills.
• Knowledge of forecasting, optimization, and predictive modeling.
• Experience with Airflow, Databricks, SageMaker, or data warehouses is a plus.
• Digital Advertising or Marketing Technology experience preferred.
• Exposure to Generative AI, LLMs, or Agentic AI is an advantage.

Education: B.Tech M.Tech (Dual), B.E., B.Tech