Staff Applied Scientist

This is a fully remote position, open to applicants in Canada.

📋 Description

• Establish the technical vision for core replenishment R&D — outline the modeling roadmap encompassing demand forecasting, inventory optimization, and decision-making policies, ensuring alignment with product and business strategies.

• Analyze complex challenges such as inventory decay, promotions, price elasticity, and inventory uncertainty, implementing solutions for multi-stage and multi-echelon inventory optimization issues.

• Implement fundamental improvements to our core system from research through to production, developing rigorously tested and scalable code — we are not merely an analytics team.

• Spearhead research and development efforts addressing new product and business challenges.

• Elevate the technical standards across the Intelligence team: mentor scientists and engineers, establish benchmarks for experimental rigor, and evaluate designs and outcomes.

• Expand the frontiers of AI capabilities within both products and scientist workflows.

⛳️ Requirements

• MS or PhD in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or another quantitative discipline, or equivalent practical experience.

• For candidates with an MS, a minimum of 8 years of industry experience; for those with a PhD, at least 4 years of industry experience.

• Proven experience in researching and developing systems that facilitate large-scale decision making under uncertainty.

• Previous expertise in areas such as inventory optimization, supply chain management, network optimization, forecasting, game theory, decision analysis, stochastic optimization, approximate dynamic programming, or related domains is advantageous.

• Exceptional communication and presentation skills. You should be capable of articulating complex mathematical concepts to product teams in layman's terms and adept at translating business requirements into constrained optimization problems.

• Capability to independently deliver high-quality software implementations of your solutions utilizing the Python data stack (numpy/torch/pandas/etc.). Prior experience with Python is not mandatory.

• Preferred skills: familiarity with ML Platform and a strong passion for mentorship.

🏝️ Benefits

• Comprehensive Health & Wellness: Extensive medical, dental, and vision coverage for you and your family, with most premiums covered by Afresh. We also offer dedicated mental health support and counseling services.

• Invested in Your Future: Competitive base salary, meaningful equity (for U.S. employees), and a 401(k) program with a generous company match.

• Flexible & Modern Workspace: Whether you choose to work from home or a local office, we support your setup with a home office stipend and "Coworking Wallets" for flexible workspace access.

• Growth-Obsessed Culture: We prioritize continuous learning. Every employee is allocated an annual professional development budget to acquire new skills and advance their career at Afresh.

• Holistic Monthly Stipends: In addition to your salary, we offer monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive.

• Time to Recharge: Flexible paid time off to take the necessary time to recharge.