Job Title: Senior Data Scientist
Location: Remote
About ApnaKlub
ApnaKlub is transforming FMCG distribution in Bharat by building a seamless, tech-enabled, and efficient supply chain. Our platform connects small retailers, Kirana stores, and wholesalers with 400+ brands and 1,200+ SKUs, ensuring consistent supply and better margins. By leveraging data-driven insights and an extensive supplier network, we optimize procurement, improve fulfilment, and drive profitable growth—placing consumer choice at the heart of traditional trade distribution.
Role Overview
We are seeking a driven and experienced Data Scientist to take end-to-end ownership of high-impact problems in supply chain, sales and marketing analytics. You will work closely with cross-functional teams across operations, product, and strategy to deliver intelligent decision-making systems that scale.
Key Responsibilities
- Own and solve complex supply chain problems using statistical modelling, machine learning, and optimization algorithms.
- Design and implement demand forecasting models, churn prediction models, vehicle planning, dynamic pricing models etc.
- Collaborate with business and engineering teams to deploy data products into production workflows.
- Establish a robust A/B testing framework to measure model impact on business outcomes.
- Create tools, dashboards, and monitoring pipelines to track data quality, model drift, and performance.
- Translate analytical insights into strategic recommendations and communicate clearly with stakeholders across levels.
Qualifications & Experience
- 3+ years of experience in applied data science roles, with exposure to demand forecasting, logistics, or supply chain domains preferred.
- Strong problem-solving skills with deep knowledge of statistics, time series forecasting (ARIMA, Prophet, XGBoost, LSTM), and optimization techniques (LP, MILP).
- Proficiency in Python, SQL, and working knowledge of GCP, BigQuery, Vertex AI, or similar cloud platforms.
- Hands-on experience with libraries such as Scikit-learn, OR-Tools, PuLP, Pyomo, etc.
- Strong communication and stakeholder engagement abilities—you can simplify technical details for non-technical audiences.
- Degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or Operations Research.
- Prior experience in recommendation systems, classification, and regression modeling is a plus.
Why Join Us?
You’ll be at the centre of reimagining traditional distribution in India using advanced data science. If you're passionate about turning complex problems into scalable, real-world solutions with tangible business impact—ApnaKlub is the place for you.