Senior Data Scientist / ML Engineer

Full-Stack Business Intelligence Solution for Consumer Brands
Data
Senior Software Engineer
Hybrid
51 - 100 Employees
5+ years of experience
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Description For Senior Data Scientist / ML Engineer

Polar Analytics is seeking a Senior Data Scientist / ML Engineer to join their team. As the #2 Senior Data Scientist, you'll play a critical role in expanding the company's capabilities and becoming more prescriptive after achieving product-market fit on their core BI offering and raising $24M.

Key responsibilities include:

  1. Delivering high-impact ML-based features in production to empower thousands of entrepreneurs.
  2. Building an ML stack from scratch to scale and deliver dozens of models in production.
  3. Identifying and prioritizing opportunities in a technical roadmap for Data Science.
  4. Collaborating with the product team to define next big initiatives.

The ideal candidate should have:

  • Experience delivering Time Series models in production
  • Ability to write production-level code, mainly in Python & SQL
  • Familiarity with ML Ops frameworks
  • Autonomous work capability and problem-solving skills
  • Drive for impact and ability to thrive in a fast-paced environment

Polar Analytics offers a unique opportunity with:

  • Strong traction (3,000+ active merchants as of June 2024)
  • Cutting-edge tech leveraging the modern data stack
  • Backing from Point9, a renowned B2B SaaS investor
  • Experienced team from leading eCommerce SaaS platforms

The company culture values No Ego, Transparency, Growth Mindset, Care for others, Acting Like the Owner, and being Driven by Impact.

Benefits include:

  • Choice-first organization focused on impact
  • 5 weeks of vacation
  • Competitive salary & equity
  • Latest MacBook Pro or equivalent
  • Remote Office Upgrade budget
  • Complimentary private health insurance
  • Bi-annual company-wide offsites

Join Polar Analytics to be part of a fast-growing team working on empowering indie DTC brands worldwide!

Last updated 9 months ago

Responsibilities For Senior Data Scientist / ML Engineer

  • Deliver high-impact ML-based features in production
  • Build an ML stack from scratch
  • Identify and prioritize opportunities in Data Science technical roadmap
  • Collaborate with product team to define next big initiatives

Requirements For Senior Data Scientist / ML Engineer

Python
Kubernetes
  • Experience delivering Time Series models in production
  • Ability to write production-level code in Python & SQL
  • Familiarity with ML Ops frameworks
  • Autonomous work capability
  • Drive for impact and ability to thrive in fast-paced environment

Benefits For Senior Data Scientist / ML Engineer

Medical Insurance
  • 5 weeks of vacation
  • Competitive salary & equity
  • Latest MacBook Pro or equivalent
  • Remote Office Upgrade budget
  • Complimentary private health insurance
  • Bi-annual company-wide offsites

Interested in this job?