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Data Scientist

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Wissen

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Location:
India , Bangalore South

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are looking for a highly skilled Senior Data Scientist with deep expertise in AI/ML techniques for Time Series Forecasting. The candidate will design, develop, and deploy advanced predictive models for large-scale forecasting use cases such as retail item‑location level demand forecasting. This role will contribute to end-to-end model development, from research and experimentation to production deployment, while collaborating with cross-functional teams including data science, engineering, and product. The position also offers exposure to a broad spectrum of data science domains including predictive modeling, personalization, recommendation systems, NLP, search ranking, optimization, and supply chain analytics.

Job Responsibility:

  • Develop, maintain, and optimize Machine Learning (ML) forecasting models to improve accuracy and scalability
  • Work closely with data scientists, data engineers, and business teams to translate requirements into scalable and maintainable solutions
  • Research and evaluate state-of-the-art ML and deep learning techniques relevant to forecasting and optimization
  • Build end-to-end ML workflows including feature engineering, model training, validation, deployment, and monitoring
  • Follow coding standards, version control best practices, and documentation guidelines
  • Contribute to the design and development of scalable data pipelines and ML infrastructure
  • Monitor model performance and implement strategies for drift detection, retraining, and continuous improvement

Requirements:

  • Bachelor's degree in computer science, Data Science, Mathematics, or a related technical field
  • 5–8 years of experience in Data Science OR 3+ years of direct experience in developing forecasting solutions
  • Strong knowledge of forecasting techniques including: Time Series: ARIMA, SARIMA, Prophet
  • Machine Learning: GLM, GBDT, XGBoost
  • Hierarchical Models: Top‑Down, Bottom‑Up
  • Deep Learning: Seq2Seq, Transformers, LSTM/GRU
  • Ensemble methods
  • Hands-on experience with end-to-end ML development, from data preparation to productionization
  • Experience with ML platforms/tools such as MLflow, Kubeflow, Databricks, or equivalents
  • Strong background in Big Data tools & distributed computing: Spark, Hadoop ecosystem, Airflow, Druid, Superset
  • Expertise in Python, Spark, and SQL
  • Experience with Git, Bitbucket, CI/CD, and version control practices
  • Familiarity with ML monitoring and model performance evaluation tools

Nice to have:

  • Experience optimizing, debugging, and fine-tuning ML models in distributed systems
  • Understanding of forecasting at scale for retail, supply chain, demand planning, or capacity planning domains
  • Exposure to optimization techniques and mathematical programming (e.g., linear programming, network flows)
  • Knowledge of NLP, recommendation models, ranking algorithms, or search optimization
  • Experience with cloud platforms (Azure, AWS, GCP) for ML deployment
  • Excellent analytical, problem‑solving, and communication skills

Additional Information:

Job Posted:
March 26, 2026

Employment Type:
Fulltime
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