Experience: 2.00 + years
Salary: Confidential (based on experience)
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Office ()
Placement Type: Full time Permanent Position
(*Note: This is a requirement for one of Uplers client - GeoIQ)
What do you need for this opportunity
Must have skills required:
Python, Machine Learning, Scikit-learn, XgBoost, SQL
GeoIQ is Looking for:
GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core individual contributor on a lean, high-output team — building and shipping classical ML predictive models for B2B clients across retail, fintech, and FMCG.
What You'll Do
- Build and ship new predictive models and driver-factor analyses every week (60–70% of your time)
- Maintain, monitor, and measure the real-world impact of deployed models (30–40% of your time)
- Work independently from problem framing through to a base model — handholding is minimal and limited to client-facing presentation
- Collaborate with cross-functional teams to translate business problems into ML solutions
- Report directly to the Hiring Manager; contribute as a fully autonomous individual contributor from day one
Must-Have Requirements
- Python (DS-grade) — Pandas, ML libraries, and visualisation packages; backend Python does not qualify
- Classical ML model building — regression, classification, XGBoost, boosting/bagging techniques, Scikit-learn, StatsModels
- Hands-on predictive modelling ownership — ability to scope and build a base model end-to-end independently
- Strong problem-solving and live coding ability under time pressure
- SQL — mandatory for working across client data pipelines
- Minimum 2 years of full-time Data Science experience (internships do not count unless from a premium company)
Good to Have
- Experience at product companies — Ola, Uber, Swiggy, Zomato, or similar high-scale consumer tech
- Analytics consulting background — Mu Sigma, ZS Associates, Fractal, Deloitte, HSBC, Capgemini, or Genpact
- Tier 1 / Tier 2 college — BSc/MSc in Maths, Statistics, Economics, or M.Tech (preferred, not mandatory if at a strong company)
What We're Not Looking For
- Profiles where 60–70%+ of experience is in GenAI, LLMs, RAG systems, or applied AI with no classical ML grounding
- Python used exclusively for backend/software engineering — not data science
- Serial job-hoppers (switching every year across 4–5 companies) without valid reasons such as mass layoffs or restructuring
- Candidates with low join intent or likely to offer-shop
How to apply for this opportunity
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
