Senior Data Scientist

2 weeks ago

Bengaluru, Karnataka, India Couture Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We're looking for a
hands-on Senior Data Scientist
to design and deploy
cutting-edge deep learning forecasting models
that power large-scale
inventory and demand planning
decisions.

If you thrive on solving complex forecasting problems, working with massive time series datasets, and building models that impact real-world business outcomes — this role is for you.

  • Build and deploy
    state-of-the-art forecasting models
    (Transformers, LSTMs, GRUs, TFT, Autoformer, PatchTST).
  • Lead the
    end-to-end ML lifecycle
    — from data prep and feature engineering to model training, validation, and production deployment.
  • Develop
    highly scalable, global forecasting solutions
    handling millions of time series (15K+ products × 1.5K+ stores).
  • Collaborate with data engineering to build
    robust data pipelines
    for large-scale model training.
  • Evaluate models using
    walk-forward validation and backtesting
    .
  • Translate complex model insights into clear, actionable business outcomes.

Qualifications

  • Proven experience
    building and deploying deep learning models at scale
    in production environments.
  • Expertise in
    time series forecasting
    and architectures like LSTM, GRU, and
    Transformer-based models
    .
  • Strong coding skills in
    PyTorch
    .
  • Hands-on with forecasting libraries such as
    NeuralForecast
    ,
    PyTorch Forecasting
    ,
    Darts
    ,
    GluonTS
    ,
    TSAI
    ,
    Merlion
    , or
    Orbit
    .
  • Solid understanding of
    time series analysis
    — trends, seasonality, and autocorrelation.
  • Good communication skills and a collaborative, problem-solving mindset.
  • Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
  • Working experience in
    forecasting, inventory planning, or retail analytics
    .

Why Join Us

  • Work on
    high-impact forecasting models
    driving strategic business decisions.
  • Collaborate with a
    world-class data science and engineering team
    .
  • Opportunity to
    scale your models globally
    across millions of data points.
  • Stay at the forefront of
    deep learning innovation for time series forecasting
    .

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