Afresh

Afresh

Senior Applied Scientist (Store Solutions)

Remote - Ontario, Canada · Senior · Full-time

Sponsorship not specified$137k-$205kDetected 6 days ago
PythonMachine LearningPandasNumPyForecastingSupply ChainElectrical EngineeringAR/VRResearchCommunicationMentoring

About the role

  • The Afresh Intelligence team is responsible for the development and performance of AI/ML models that power our core replenishment technology.
  • Our models are directly responsible for ordering millions of dollars of fresh inventory across the world every day.
  • We tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies.

Responsibilities

  • Model complex problems such as inventory decay, promotions, price elasticity, and inventory uncertainty, and implement solutions to multi-stage and multi-echelon inventory optimization problems.
  • Raise the technical bar across the Intelligence team: mentor scientists and engineers, set standards for experimental rigor, and review designs and results.
  • Experience researching and building systems that support large-scale decision making under uncertainty.
  • We provide a comprehensive support system designed to help you do your best work while maintaining a healthy, balanced life.

Nice to have

  • Push the boundaries of AI capabilities in both products and scientist workflows.
  • 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, 4+ years of industry experience
  • for candidates with a PhD, some industry experience preferred.
  • 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.
  • Prior experience with Python is not required.
  • Nice to Have skills: understanding of ML Platform and a passion for mentorship

Skills

  • understanding of ML Platform and a passion for mentorship
  • This position is not eligible for company sponsorship.
  • Salary Range in Canada (CAD): $136,897- $205,215
  • Why You'll Love Working at Afresh
  • Invested in Your Future: Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match.
  • Full-time U.S. employees are eligible for these benefits
  • About Afresh

Compensation

  • $136,897- $205,215

Benefits

  • Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh.
  • We also provide 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.
  • Whether you work from home or a local office, we support your setup with a home office stipend and "Coworking Wallets" for flexible workspace access.
  • Beyond your paycheck, we provide monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive.

Company info

  • We believe in continuous learning.
  • Every employee receives an annual professional development budget to master new skills and grow their career at Afresh.
  • Drive fundamental changes to our core system from research through production, writing rigorously tested and scalable code - we are not an analytics team.

Visa & Work Authorization

  • This position is not eligible for company sponsorship.

This listing is sourced directly from Afresh's careers page and normalized into a canonical job model.