Pune, Maharashtra, India
Information Technology
Full-Time
IDCUBE
Overview
Job Title : Lead Data Scientist Demand Forecasting.
Location : [Bengaluru Hybrid].
Employment Type : Full-Time.
Department : Data Science / Supply Chain Analytics.
Our Client is AI Product company (Startup).
Notice Period : Immediate Joiner / 30 days.
As a Lead Data Scientist, you will work on high-impact forecasting problems, develop scalable models, and collaborate closely with product, engineering, and customer-facing teams. Your work will directly influence key business decisions across inventory, pricing, and logistics.
Key Responsibilities
Location : [Bengaluru Hybrid].
Employment Type : Full-Time.
Department : Data Science / Supply Chain Analytics.
Our Client is AI Product company (Startup).
Notice Period : Immediate Joiner / 30 days.
As a Lead Data Scientist, you will work on high-impact forecasting problems, develop scalable models, and collaborate closely with product, engineering, and customer-facing teams. Your work will directly influence key business decisions across inventory, pricing, and logistics.
Key Responsibilities
- Understand business objectives and conduct deep exploratory data analysis to identify the best forecasting strategies.
- Develop and train machine learning and deep learning models on large-scale time series datasets.
- Perform descriptive analytics and data visualization to provide actionable insights to stakeholders.
- Design, implement, and optimize end-to-end data science pipelines for demand forecasting, inventory management, and price
- Collaborate with cross-functional teams to deploy models and monitor performance in production.
- Analyze model accuracy across different segments to ensure fairness and robustness.
- Present insights and recommendations to internal and external stakeholders.
- Contribute to research and innovation efforts in forecasting and optimization You Bring :
- 7+ years of experience in a data science or machine learning role, preferably with exposure to demand forecasting or supply chain optimization.
- Bachelor's or Masters degree in Statistics, Mathematics, Computer Science, Physics, Economics, or a related field.
- Strong expertise in time series modeling, regression, and deep learning.
- Hands-on experience with Python (NumPy, pandas, Scikit-learn, PyTorch/TensorFlow), SQL, and data visualization tools.
- Proven ability to build and scale end-to-end machine learning pipelines.
- Experience with A/B testing, hypothesis-driven development, and statistical analysis.
- Ability to clearly communicate technical insights to non-technical stakeholders.
- Strong problem-solving and analytical thinking Bonus :
- Industry experience in CPG, FMCG, or retail (because real-world demand is volatile and driven by many external factors like promotions, holidays, supply issues).
- Experience dealing with noisy, large-scale datasets and seasonality.
- Hands-on with ML Ops tools or cloud platforms (AWS/GCP/Azure).
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