Job Title: Senior Manager, Data Science
Team: Data Science
Location: Bangalore, India
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).
At the heart of this ecosystem is a world-class Data Science team. We are the
brain that powers Swiggy, turning petabytes of real-time data into intelligent
products and decisions that impact millions of users, delivery partners, and
restaurant partners every day.
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.
We are looking for an experienced and visionary Data Science Senior Manager
to lead a team of talented data scientists. In this role, you will be a
player-coach, blending deep technical expertise with strategic thinking and
people leadership. You will own the roadmap for a critical business area,
partner with product and engineering leaders, and guide your team to build and
deploy ML models that drive direct business impact.
This isn't just a management role; it's an opportunity to shape the future of
convenience in India.
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
If you are a first-principles thinker who is passionate about solving hard
problems in logistics using a blend of optimization and machine learning, we
want to talk to you.
*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*
