Data Scientist

2 weeks ago

Chennai, Tamil Nadu, India NextHire (Part of Algotale Group) Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Company:

Location:
Chennai (Onsite)

Overview

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.

Key Responsibilities

  • 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
    .

Required Skills & Experience

  • 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).
  • Strong
    problem-solving, detail orientation, and business translation skills
    .
  • Excellent
    communication and collaboration
    abilities.

Preferred Qualifications

  • 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).

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