Pod Foods

Data Scientist / Algorithm Developer

Sept. 25, 2020


$70,000 - $90,000 / yr

Pod Foods is creating an intelligent grocery supply chain for emerging brands. We are a marketplace + full service logistics network and we are currently seeking a data scientist who has experience with machine learning to help us optimize recommendations for buyers, inventory, and inventory allocation. This is a great opportunity to build a team from scratch, have a lot of impact immediately, and join a quickly growing, positive, early-stage company with backing from Microsoft and other VCs.

You will be responsible for:
Optimizing the buyer experience with targeted product/sales recommendations. You will own the end-to-end buyer experience from a product perspective and you may work closely with the engineers and product team. You will be focused on personalization, advertising, relevance and recommendation systems to help our customers have a targeted, curated experience. You will also help optimize the supply chain with inventory recommendations.

Key tasks:
-Contributing to the overall engineering roadmap
-Building, testing and modifying the product based on customer feedback
-Analyzing data and identifying product and customer trends and translating back into the product

Essential Requirements:
Strong technical background
Experience in building data systems and data analytics, ability to take ownership and lead
Being a fast-learner, eager to learn, ship and adapt to new challenges
You have worked with teams to build production systems for a diverse set of users
You can look holistically at systems for improvement
You are willing to challenge the status quo and can work collaboratively in doing so
Good communication skills with rest of team (engineers & business side)
You have a degree in a quantitative field (Math, Physics, Computer Science, Statistics, Machine Learning, etc)

Preferred Qualifications:
Grasp of data structures and matching algorithms
Experienced with machine learning and predictive analytics

Benefits aand Perks:
Salary based on experience, stock options, ability to grow with the company into a larger role and larger comp
Awesome, remote, fun, laidback yet energetic team!! "Functional chill" is the culture

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