Company:
Datacrew.ai
Location:
Chennai (Onsite)
Datacrew.ai is seeking a skilled
Data Scientist (Demand Forecasting)
to join our growing analytics team. In this role, you will design, deploy, and optimize demand prediction models across industries such as food and retail. By leveraging
machine learning, time series analysis, and external domain factors
, you will deliver actionable insights that drive smarter business decisions.
Develop and enhance forecasting models using
time series, statistical, and ML techniques
for SKU- and branch-level demand prediction.
Partner with stakeholders to define requirements and identify relevant data sources (historical sales, calendar, promotions, external datasets).
Perform
feature engineering
to integrate seasonality, holidays, promotions, weather, and external drivers into models.
Conduct thorough
data preprocessing, validation, and analysis
to ensure robust and reliable forecasts.
Collaborate with
data engineering and business teams
to deploy models into production and automate recurring forecasts.
Track and evaluate model performance using
MAE, RMSE, MAPE
, and refine models based on results.
Prepare
documentation, dashboards, and presentations
for technical and business audiences.
Stay current on advances in




time series forecasting, ML, and demand analytics
.
Bachelor's/Master's in
Data Science, Statistics, Computer Science, Operations Research
, or related field.
4–5 years' experience
in forecasting/analytics (retail, QSR, FMCG, or manufacturing preferred).
Hands-on expertise in:
Time series models
: ARIMA/SARIMA, Exponential Smoothing, Prophet
Machine learning models
: XGBoost, LightGBM, Random Forest, Neural Networks for time series
Proficiency in
Python
(pandas, scikit-learn, statsmodels, Prophet, etc.); SQL is a plus.
Experience in
feature engineering
with holiday/event calendars and external data.
Familiarity with
visualization tools
(Tableau, Power BI, matplotlib, seaborn).
Robust
problem-solving, detail orientation, and business translation skills
.
Excellent
communication and collaboration
abilities.
Experience deploying forecasting models in
production/cloud environments
.
Knowledge of
retail/restaurant analytics
at SKU and store/branch level.
Exposure to
big data tools, cloud platforms
(AWS, GCP, Azure), and workflow automation.
Experience with
deep learning models for time series
(LSTM, GRU).

📌 Datacrew.Ai - Demand Forecasting (Chennai)
🏢 NextHire
📍 Chennai