Job Description

Job Title: Demand Forecasting Data Scientist

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Experience: 6+ years

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Location: BENGALURU, India (Full time)

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If interested please share me your resume,

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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

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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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- Evaluate and improve forecast accuracy using appropriate metrics (MAPE, wMAPE, Bias).
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- Contribute to best practices in coding, model governance, documentation, and MLOps workflows.
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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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- Solid 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

📌 Forecasting Data Scientist (Bengaluru)
🏢 Artech
📍 Bengaluru