Flipkart is looking for a Data Scientist to build scalable ML models and analytics that power e-commerce, supply chain, and customer experience. If you love solving real-world problems with data, this role is a great fit.
Job Snapshot
| Attribute | Details |
|---|---|
| Role | Data Scientist |
| Team Focus | Planning / Supply Chain / Customer Analytics (as per listing) |
| Location | Bengaluru, Karnataka (Work From Office as per role requirements) |
| Employment Type | Full-Time |
Key Responsibilities
- Design, train, and deploy machine learning and optimization models for forecasting, inventory, pricing, and network planning.
- Analyze large datasets to uncover insights, trends, and drivers of business impact.
- Partner with product, engineering, and operations to ship data-driven features at scale.
- Own experimentation, A/B testing, and model performance monitoring.
- Write clean, reproducible code and documentation for analytics/ML workflows.
Skills & Qualifications (Typical)
- Proficiency in Python (Pandas, NumPy, scikit-learn) and/or R; solid SQL.
- Strong grounding in statistics, experimentation, and ML algorithms (regression, tree-based models, time-series, clustering).
- Experience with data pipelines / notebooks / dashboards; exposure to MLOps is a plus.
- Excellent problem-solving, communication, and stakeholder collaboration skills.
- Degree in CS/Stats/Math/OR/Data Science or relevant field (or equivalent practical experience).
Why Join Flipkart?
- Work on high-impact, real-time problems at India’s leading e-commerce company.
- Grow with a mature data culture and strong engineering practices.
- Opportunity to influence product and supply chain at national scale.
How to Apply
Apply via the official Flipkart Careers page:
Flipkart Careers – Data Scientist (Bengaluru)
Tip: Tailor your resume to highlight end-to-end ML projects (problem → data → model → deployment → business impact). Include links to GitHub, papers, or dashboards if available.
FAQs
1) Can freshers apply?
The role typically prefers prior DS/ML experience. Check the official page for exact eligibility.
2) What tech stack is preferred?
Python (Pandas, scikit-learn), SQL, and common DS tooling. Experience with time-series/optimization is a plus.
3) Is this remote?
The listing is for Bengaluru. Remote/hybrid depends on team policy—refer to the careers page.
Note: Always review the official listing for the latest requirements, responsibilities, and deadlines before applying.
