Job Description
Data Scientist - Supply Chain & Inventory Analytics
nExperience - 4 to 6 Years
nImportant Note - Looking for Candidates who can join us with 45 days
nLocation - Chennai / Bangalore
nRequired Qualifications:
n
- n
- Experience: 4–6 years in a data science, applied machine learning, or quantitative analytics role, with at least two years working on problems that reached production or live business use.n
- Education: Bachelor's or Master's in Statistics, Mathematics, Computer Science, Operations Research, Industrial Engineering, Economics, or a related quantitative discipline.n
- Programming: Strong Python — pandas, NumPy, scikit-learn, statsmodels. Comfortable writing clean, testable, reviewable code rather than notebook-only exploration.n
- SQL: Confident with complex joins, window functions, and query performance on large operational tables.n
- Time-series forecasting: Practical experience with classical and modern approaches — ARIMA/SARIMA, exponential smoothing, Prophet,



gradient-boosted trees for tabular time series — and the judgement to know when a straightforward baseline is the right answer.n
- Supervised learning: Solid grounding in regression and tree-based ensembles (XGBoost, LightGBM, Random Forest), including feature engineering, regularisation, cross-validation design, and honest error analysis.n
- Statistical fluency: Distributions, uncertainty quantification, confidence and prediction intervals, hypothesis testing, and the ability to explain what a model does not know.n
- Communication: Able to explain a model to a plant engineer with no statistics background and to defend it to a technically sharp reviewer, in the same week.n

nPreferred / Good to Have:
n
- n
- Domain exposure to supply chain, inventory optimisation, spare-parts planning, MRO, maintenance planning, or procurement analytics.n
- Familiarity with inventory theory — safety stock formulations, service-level targets, EOQ, reorder point logic, multi-echelon inventor

📌 Data Scientist (Bengaluru)
🏢 Mindsprint
📍 Bengaluru