🚀 Senior Manager – Data Science | Swiggy
🏢 Company: Swiggy
Hiring
📄 Job Description
Swiggy is hiring a Senior Manager – Data Science for its Bangalore office. The role involves leading high-impact machine learning initiatives, mentoring data science teams, driving AI innovation, and solving large-scale business problems across logistics, personalization, forecasting, and generative AI systems. :contentReference[oaicite:0]{index=0}
🛠 Key Responsibilities
- Lead and mentor teams of data scientists and machine learning engineers
- Drive strategic ML and AI roadmaps aligned with business objectives
- Oversee end-to-end machine learning lifecycle from ideation to deployment
- Build scalable AI solutions for logistics optimization and recommendation systems
- Develop forecasting, personalization, and pricing intelligence models
- Guide teams in Generative AI and advanced ML problem-solving initiatives
- Collaborate with Product, Engineering, and Business teams
- Manage model deployment, monitoring, and MLOps best practices
- Communicate technical insights and business impact to senior leadership
- Participate in hiring and building high-performing AI and ML teams
🎓 Eligibility Criteria
- 10+ years of hands-on experience in Data Science or Machine Learning roles required
- 2+ years of experience managing and mentoring Data Science teams required
- Strong expertise in Python, SQL, and machine learning frameworks required
- Experience with TensorFlow, PyTorch, Keras, Spark, Hive, or Presto preferred
- Strong understanding of deep learning, Generative AI, and MLOps required
- Experience with statistical modeling, A/B testing, and causal inference preferred
- Excellent communication and stakeholder management skills required
⭐ Key Skills
- Machine Learning
- Generative AI
- Python & SQL
- MLOps & Deployment
- Leadership & Strategy
💰 Benefits
- Opportunity to work on large-scale AI systems impacting millions of users
- Leadership role in one of India’s leading tech-driven companies
- Exposure to advanced ML, logistics optimization, and Generative AI solutions
- High-growth environment with innovation-focused culture
⭐ Why Apply?
- Lead cutting-edge AI and machine learning initiatives at scale
- Build impactful products across logistics, personalization, and forecasting
- Enhance leadership and strategic AI decision-making expertise
- Work with high-performing teams in a data-driven ecosystem
🧠 Core Skills Required
- Machine Learning Expertise: Deep understanding of classical ML, deep learning, and production AI systems.
- Generative AI: Exposure to Transformers, LLMs, and advanced AI model applications.
- Python & SQL: Strong programming and large-scale data processing capabilities.
- MLOps: Experience with deployment, monitoring, and model lifecycle management.
- Leadership Skills: Capability to lead, mentor, and scale high-performing Data Science teams.
- Strategic Thinking: Ability to convert business challenges into ML-driven solutions.
- Statistical Knowledge: Expertise in experimentation, A/B testing, and causal inference.
- Stakeholder Management: Strong communication and cross-functional collaboration abilities.
🎤 How to Prepare for the Interview
- Revise core machine learning, deep learning, and Generative AI concepts thoroughly.
- Prepare examples of leading ML teams, deploying models, and driving business impact.
- Practice interview questions on ML architecture, experimentation, and AI product strategy.
- Be ready to discuss large-scale model deployment, monitoring, and MLOps practices.
- Revise Python, SQL, Spark, TensorFlow, and PyTorch concepts in depth.
- Research Swiggy’s logistics, personalization, and quick commerce ecosystem before the interview.
- Highlight leadership mindset, technical depth, and business problem-solving capabilities confidently.
📩 How to Apply
Interested candidates can apply using the official Swiggy careers link below.