Senior Manager - Data Science

Instamart; Bangalore Rural; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Swiggy is India’s leading on-demand convenience platform with Swiggy Instamart, Genie, and Dineout services. The Senior Manager, Data Science will lead a team of 8-10 researchers and engineers to tackle ML challenges at scale in a fast-paced environment.

You will partner with Product, Engineering and Business leaders to translate complex problems into a data-driven roadmap, oversee the full ML lifecycle, and push GenAI-powered personalization and optimization across Swiggy’s three-way

Qualifications

• 10+ years hands-on data science experience.
• 2+ years in a formal leadership role mentoring data scientists.
• Proficient in Python and data science libraries.
• Experience with ML frameworks like TensorFlow, PyTorch, or Keras.
• Strong SQL skills and large-scale data processing experience.
• Exposure to Generative AI techniques and practical ML systems.

Responsibilities

• Lead, manage, and mentor a team of 8-10 data scientists and ML engineers.
• Translate business problems into data-driven strategic roadmaps.
• Oversee end-to-end ML lifecycle from ideation to deployment and monitoring.
• Guide the team on Generative AI solutions for personalization and productivity.
• Own logistics optimization, ETA, driver assignment, and forecasting.
• Drive discovery, personalization, and recommendations across platforms.
• Shape growth, pricing, and churn modeling strategies with data.
• Forecast demand and manage supply planning for Instamart and partners.
• Communicate outcomes to senior leadership and stakeholders.
• Lead hiring and build a high-performing data science organization.

Skills

Python

ML frameworks

SQL

MLOps

Leadership

Communication

Education

Bachelor's or Master's in quantitative field

Tools

Kubeflow

MLflow

GeoPandas

H3

S2

Job description

About Swiggy

Swiggy is India’s leading on-demand convenience platform, with a mission to elevate the quality of life for the urban consumer by offering unparalleled convenience. From our beginnings as a hyperlocal food delivery service, we have expanded to become a logistics hub for the nation, with services like Swiggy Instamart (quick commerce), Swiggy Genie (package delivery), and Dineout (restaurant discovery and reservations).

Job Title: Senior Manager, Data Science

Team: Data Science

Location: Bangalore, India

About The Team & The Role

The Swiggy Data Science team is a vibrant group of scientists, engineers, and problem-solvers who are passionate about tackling some of the most complex challenges in machine learning at scale. We work on everything from ETA prediction and delivery partner assignment to personalized recommendations, demand forecasting, and fraud detection.

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.

What You'll Need (Must-Have Skills)

• Educational Background: A Bachelor’s or Master’s in a quantitative field like Computer Science, Statistics, Operations Research, Economics, or a related discipline.
• Experience:
• 10+ years of hands‑on experience in data 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.
• Statistical Rigor: Deep understanding of statistical methods, experimental design (A/B testing), and causal inference.
• ML Systems Design: Experience in deploying, monitoring, and maintaining machine learning models in production environments. Familiarity with MLOps principles and tools (e.g., Kubeflow, MLflow) is a strong plus.
• Leadership: Exceptional leadership skills with a passion for developing people and building high‑performing teams.
• Communication: Outstanding communication and presentation skills, with the ability to influence and align cross‑functional partners.

Preferred Qualifications

• Experience working with real‑time, low‑latency model deployment and MLOps.
• Strong experience with geospatial data and relevant libraries (e.g., GeoPandas, H3, S2).
• A portfolio of patents or publications in top‑tier ML/AI conferences (e.g., NeurIPS, ICML, KDD, ICLR).
• Prior experience leading and scaling a team of scientists.

Why Join Swiggy?

• Unprecedented Scale: Work with one of the richest datasets in India, covering user behavior, logistics, geography, and real‑time transactions.
• Tangible Impact: See your models come to life and directly influence the experience of millions of Indians in near real‑time. The feedback loop is immediate and gratifying.
• Complex Challenges: The problems we are solving are not just intellectually stimulating; they are unique to our three‑way marketplace and will push the boundaries of your knowledge.
• A Culture of Data: We are a data‑driven organization from top to bottom. Your work will be valued, and your insights will shape our strategy.
• World‑Class Team: Collaborate with a brilliant, diverse, and humble team of data scientists, engineers, and product managers who are among the best in the industry

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protected by the law