Senior Data Scientist refactoring Python optimization algorithms and developing pricing models. Solving supply - chain challenges for Tiger Analytics’ retail and CPG analytics clients.
About the role
- Staff Applied Scientist at Afresh managing AI/ML models for fresh inventory control. Solving complex replenishment challenges to minimize food waste and enhance grocery decision-making.
Responsibilities
- Lead R&D work at Afresh for the development and performance of AI/ML models that power replenishment technology.
- Model consumer demand, item-level perishability, and complex multi-echelon supply chains.
- Drive fundamental changes to the core system from research through production, writing rigorously tested and scalable code.
- Raise the technical bar across the Intelligence team: mentor scientists and engineers, set standards for experimental rigor, and review designs and results.
- Push the boundaries of AI capabilities in both products and scientist workflows.
Requirements
- MS or PhD in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or another quantitative field, or equivalent practical experience.
- For candidates with an MS, 8+ years of industry experience; for candidates with a PhD, 4+ years of industry experience.
- Experience researching and building systems that support large-scale decision making under uncertainty.
- Prior experience in areas such as inventory optimization, supply chain management, network optimization, forecasting, game theory, decision analysis, stochastic optimization, approximate dynamic programming, or related fields is a plus.
- Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English and easily translate business requirements into constrained optimization problems.
- Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc). Prior experience with Python is not required.
- Nice to Have skills: understanding of ML Platform and a passion for mentorship.
Benefits
- Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh.
- Dedicated mental health support and counseling services.
- Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match.
- Home office stipend and 'Coworking Wallets' for flexible workspace access.
- Annual professional development budget to master new skills and grow your career at Afresh.
- Monthly stipends for 'Betterment' (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive.
- Flexible paid time off to take the time you need to recharge.
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