Senior Data Scientist / ML Engineer

March 27

Polar Analytics

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#1 multi-channel analytics software for Shopify brands. Join 800+ brands getting actionable insights effortlessly!

Shopify • Data • Business Intelligence • ETL • ELT

11 - 50

Description

• Polar Analytics is a Full-Stack Business Intelligence Solution for Consumer Brands. A powerful, yet simple solution for business users to get the insights they need to succeed and make the right decisions. • Our mission is to empower indie DTC brands worldwide to grow faster and more profitably! • Traction - We've grown to over 2,000 + active merchants as of June 2023, and we're on track to reach 5,000 this year. • Tech & Product - We leverage the latest advancements of the modern data stack and make it user-friendly to non-technical users. • Funding Strategy - We're backed by Point9, an exceptional B2B SaaS investor that's renowned for finding Unicorns at an early stage. • Team - We're a collective of experienced individuals from leading eCommerce SaaS platforms and are on a mission to become the next unicorn. • Data Science @Polar - We are looking for individuals who love to create products and have ownership from inception to shipping. • What’s the scope - Deliver high impact ML-based features in production, to empower thousands of entrepreneurs to grow their brand, with a product they use daily. • Our stack - We like to try new things out but most of our data stack is built around Python & SQL.

Requirements

• You have delivered Time Series models in production, used by significant % of overall users • You are able to write production level code, mainly in Python & SQL, and are very familiar with software engineering concepts. • You have worked with ML Ops frameworks and understands the tradeoffs of building a stack from scratch • You have worked autonomously on features, and are able to unblock yourself. • You are driven by impact, thrive in a past-paced environment and are not afraid to deal with ambiguity and wear multiple hats.

Benefits

• On-site Gym • Generous PTO • Health Insurance • Retirement Plan Matching