Sr Data Scientist
5 months ago
- To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels.
You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams.
Key job responsibilities - Design and develop mathematical models to optimize inventory placement and product flows.
- Design and develop statistical and optimization models for planning Supply Chain under uncertainty.
- Manage several, high impact projects simultaneously.
- Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.
- Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.
Basic Qualifications - Experience working as a Data Scientist
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience documenting modeling for technical and business leaders
- Experience working with data engineers and business intelligence engineers collaboratively
- Experience working with scientists, economists, software developers, or product managers
- Practical experience in several of the following areas: Linear Programming, Dynamic Programming, Stochastic Optimization, Robust Optimization, Black Box Optimization, Machine Learning.
- Preferred Qualifications
- Experience in forecasting analyses
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Experience in a ML or data scientist role with a large technology company
- Experience in Supply Chain Optimization
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