Senior Applied Scientist (Store Solutions)
Afresh TechnologiesFresh Food company
Canada$136,897 - $185,215Senior
Spark Capital
Insight Partners
VMG Partners
Bright Pixel Sonae
Threshold
Food Retail Ventures
Data & AI
About the role
TL;DR
Develop and optimize AI/ML models for perishable inventory control.
- •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.
- •Key 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.
- •Drive fundamental changes to our core system from research through production, writing rigorously tested and scalable code
- •we are not an analytics team.
- •Advance research and development for new product and business challenges.
- •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, 4+ years of industry experience; for candidates with a PhD, some industry experience preferred.
- •Experience researching and building systems that support large-scale decision making under uncertainty.
- •Prior experience or academic knowledge 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
Required skills
PythonNumPyscikit-learnTensorFlowPyTorchHugging FaceNLPMLflowKubeflowSageMakerVertex AIONNXJAXPostgreSQLMySQL
Domain expertise
food
Benefits & perks
Comprehensive Health & Wellness, Competitive base salary, Equity (U.S. employees), 401(k) program with company match, Home office stipend, Coworking Wallets, Annual professional development budget, Monthly stipends for Betterment and telecommunications, Flexible paid time off
Tech stack
PythonNumPyPandasTensorFlowPyTorchscikit-learnHugging FaceNLPMLflowKubeflowSageMakerVertex AIONNXJAXPostgreSQLMySQLMongoDBRedisElasticsearchDynamoDBCassandraSQLiteOracleSQL ServerNeo4jCockroachDBTimescaleDBInfluxDBSupabaseFirebase