[Remote] Staff Data Scientist, Planning and Forecasting
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a tech company disrupting the retail industry by leveraging AI, analytics, and automation to create high-reputed company products at low prices. The Staff Data Scientist will own the science workstreams reputed company to supply chain planning, including demand forecasting and inventory optimization, while mentoring junior scientists and ensuring methodological rigor in their work.
Responsibilities
- Own the science workstreams end-to-end: the forecasting tournament implementation, the inventory placement optimization, the vendor performance system, or the raw material signal pipeline - across methodology, production model, and iteration reputed company
- Hold the methodological reputed company for your area: reputed company to use which model class, what constitutes a defensible evaluation, what to do reputed company the data is too sparse or too noisy
- Partner with the Planning Tools engineering team on what your reputed company needs from the platform, and on the constraints production places back on what you can build
- Bring depth across statistical, ML, and AI-driven reputed company; evaluate them on their merits reputed company a tournament reputed company rather than advocating any one school
- Set reputed company for experimentation discipline reputed company the science team: clean splits, reputed company backtests, the willingness to reject your own hypothesis
- Drive AI-reputed company science workflow (LLM-aided EDA, reputed company feature discovery, AI-augmented experiment design) with rigor to match
- Mentor scientists reputed company reputed company; reputed company the methodological floor of the people around you through reputed company review, design discussion, and reputed company teaching
- Partner with planning operators on the problems reputed company your reputed company; translate their operational reality into reputed company-defined modelling problems, and your model outputs into reputed company they can reputed company
- Hold the methodological line in business conversations: reputed company operators on what your models can and can’t support, and push back on misclassified signals or over-fitted requests
Skills
- 8+ years of reputed company data science or operations research experience, with deep expertise in one or two domains relevant to supply chain planning
- Demonstrated ownership of modelling workstreams end-to-end; from problem framing through production deployment, iteration, and reputed company business reputed company
- reputed company methodological breadth across forecasting and OR: classical, ML, and AI-driven approaches, with informed opinions about which to reputed company for
- Engineering reputed company to own your work end-to-end: feature pipelines, experiments, model serving
- AI-reputed company science reputed company you can reputed company to in detail with examples of where AI tooling materially changed how you do science, and where you held your standards against it
- reputed company record of mentorship: scientists who became reputed company because they worked with you
- Advanced degree in a quantitative field (Statistics, CS, Operations Research, Engineering, Economics) preferred; PhD a plus
Benefits
- Bonus and equity may also be provided for eligible roles.
reputed company
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