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Data Science Lead - Forecasting

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Job ID 240228 Date posted 09/23/2022 Location : Bengaluru, India

Job Purpose and Impact

Intelligent Supply Chain Forecasting Lead will work collaboratively in multidisciplinary teams to define, develop, deploy and sustain complex supply chain digital solutions at scale. In this role, you will deploy predictive, prescriptive models at scale for digital supply chain products that help deliver significant value to our customers, businesses and functions.

Key Accountabilities

  • Own and design statistical model, evaluate differentiating features and deploy forecasting solutions keeping eye on bringing business value for intelligent supply chain applications.
  •  Work on multidisciplinary teams of product owners, data engineers, software engineers, data scientists, and business subject-matter experts to deploy complex large-scale projects on time. 
  • Take ownership for the entire supply chain data science workflow including well defined, highly complex project scoping, exploratory data analysis, model development, deployment and monitoring. 
  • Provide expert thought leadership in your space and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor.
  • Continuously seek out best practices and develop skills.
  • Other duties as assigned.


• Bachelor’s degree in Computer science, Statistics, Math OR related field OR Equivalent Experience.
​​​​​​​• Applied Machine Learning experience (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning).
• Strong mathematical background (linear algebra, calculus, probability and statistics). • Experience with JavaScript and prototyping languages such as Python and R.
• Minimum of Six years of related work experience.

• Master's degree or PhD in Computer science / Engineering / Math or Statistics
• Professional experience applying predictive, prescriptive models for Supply Chain solutions.
• Experience with timeseries forecasting such as ARIMA, Prophet, DeepAR, etc.

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