Senior Manager - Data Science

About this role

Not quite right? These jobs in Bengaluru match the same skills — apply to a few to improve your chances.

Senior Machine learning Engineer

Bosch Group

In OfficeBengaluru

Apply

Senior Member of Technical Staff- Machine Learning

Athenahealth

In OfficeBengaluru

Apply

Senior Data Scientist - ML, Python

HCLTech

In OfficeBengaluru

Apply

Research Scientist - Machine Learning

GE Vernova

In OfficeBengaluru

Apply

Skills you'll use

What you'll do

• Lead & Mentor: Lead, manage, and mentor a team of 8-10 data scientists and machine learning engineers, fostering their career growth and building a culture of innovation, accountability, and excellence.
• Strategic Roadmap & Vision: Partner with Product, Engineering, and Business leaders to identify high-impact opportunities. You will translate ambiguous business problems into a clear, data-driven strategic roadmap for your team.
• Technical Leadership & Execution: Oversee the end-to-end machine learning lifecycle—from ideation, data exploration, and model prototyping to deployment, monitoring, and iteration. You will ensure the team adheres to the highest standards of statistical rigor and engineering best practices.
• Problem Solving on latest Generative AI solutions: Guide your team in solving complex problems in personalization support discovery and internal productivity:
• Logistics & Fulfillment: Optimizing the three-way marketplace (ETA prediction, batching, driver assignment, route optimization).
• Discovery & Personalization: Building recommendation engines, personalized search, and discovery journeys for Food, Instamart, and Dineout.
• Growth & Economics: Customer segmentation, LTV prediction, churn modeling, and designing optimal pricing and promotion strategies.
• Forecasting & Supply Chain: Demand forecasting for Instamart, restaurant supply prediction, and inventory management.
• Stakeholder Management & Communication: Effectively communicate complex technical concepts and the business impact of your team's work to a diverse audience, including senior leadership.
• Hiring & Team Building: Be a bar-raiser for talent. Actively participate in the hiring process to attract and retain top-tier data scientists.

Who can apply

• Educational Background: A Bachelor’s or Master’s in a quantitative field like Computer Science, Statistics, Operations Research, Economics, or a related discipline.
• 10+ years of hands-on experience in Data Science, Applied Science or a Machine Learning-focused role.
• 2+ years of experience in a formal leadership capacity, managing and mentoring data scientists.
• Technical Proficiency:
• Expert-level proficiency in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib).
• Deep, hands-on experience with modern machine learning frameworks like TensorFlow, PyTorch, or Keras.
• Strong expertise in SQL and experience with large-scale data processing using tools like Spark, Hive, or Presto.
• A solid understanding of both classical ML and deep learning along with exposure to Generative AI solutions (e.g., CNNs, RNNs, Transformers).
• Core Competencies:
• Problem Formulation: A proven track record of converting vague business questions into well-defined machine learning problems.

Perks & benefits

About SWIGGY

Searching for “SWIGGY jobs” or “jobs at SWIGGY”? You’re in the right place.