Job Description

Job Title: Demand Forecasting Data Scientist

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Experience: 6+ Years

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Location: Bangalore

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Job Summary

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We are seeking an experienced Demand Forecasting Data Scientist with strong expertise in time series forecasting, machine learning, and supply chain analytics . The ideal candidate will have hands-on experience working with Databricks and Python , a deep understanding of demand planning use cases, and the ability to deliver scalable, production-ready forecasting solutions. This role requires a sharp analytical mindset, fast learning ability, and strong collaboration skills.

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Key Responsibilities

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- Design, develop, and deploy demand forecasting models using time series, machine learning, and deep learning techniques.
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- Build end-to-end forecasting pipelines on Databricks leveraging distributed computing and scalable architectures.
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- Apply statistical and ML techniques such as ARIMA/SARIMA, Prophet, XGBoost, Random Forest, LSTM, GRU , TimeGPT and hybrid models.
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- Collaborate closely with supply chain, demand planning, and business stakeholders to translate business problems into analytical solutions and should be a able to full ownership.
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- Perform feature engineering using internal and external drivers (promotions, seasonality, holidays, weather, etc.).
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- Evaluate and improve forecast accuracy using appropriate metrics (MAPE, wMAPE, Bias).
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- Optimize models for performance, scalability, and interpretability in production environments.
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- Conduct exploratory data analysis and present actionable insights to both technical and non-technical audiences.
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- Contribute to best practices in coding, model governance, documentation, and MLOps workflows.
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- Mentor junior team members and actively participate as a strong team player in cross-functional initiatives.
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Required Skills & Qualifications

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Technical Skills

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- 6 years of experience as a Data Scientist with a strong focus on demand forecasting or supply chain analytics .
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- Strong hands-on experience with Python and its associated libraries:
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- NumPy, Pandas, SciPy
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- scikit-learn
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- statsmodels
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- TensorFlow / PyTorch (for DL models)
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- Solid experience with Time Series Forecasting techniques and real-world demand planning use cases.
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- Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing.
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- Practical exposure to Machine Learning and Deep Learning model development and deployment.
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- Experience working with large, complex datasets in cloud-based or big data environments.
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- Practical understanding of Nixtla library is a plus.
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- Experience with MLOps , model monitoring, and CI/CD pipelines.
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Domain Knowledge

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- Strong Supply Chain domain knowledge , especially demand forecasting, inventory planning, and sales forecasting.
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- Understanding of forecast lifecycle, demand variability, and business constraints.
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Soft Skills & Competencies

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- Sharp analytical mindset with robust problem-solving skills.
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- Ability to pick up new concepts and tools quickly in a fast-paced environment.
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- Strong communication skills with the ability to explain complex models in simple terms.
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- Highly collaborative with a strong team-player attitude .
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- Proactive, self-driven, and ownership-oriented approach to work.
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Preferred (Good to Have)

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- Exposure to cloud platforms (Azure / AWS / GCP).
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- Experience working in Agile or cross-functional delivery teams.
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- Prior experience in retail, CPG, manufacturing, or e-commerce domains.
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📌 Demand Forecasting Data Scientist (Bengaluru)
🏢 Artech
📍 Bengaluru