Polar Analytics is hiring a
Senior Data Scientist ML Engineer

Summary

The job is for a Senior Data Scientist at Polar Analytics, a growing B2B SaaS company backed by Point9. The role involves delivering ML-based features in production, building an ML stack from scratch, and working closely with the product team to define the next big things.

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-faced environment and are not afraid to deal with ambiguity and wear multiple hats

Responsibilities

• Deliver high impact ML-based features in production, to empower thousands of entrepreneurs to grow their brand, with a product they use daily
• Build an ML stack from scratch, that will allow us to scale and deliver dozens of models in production
• Have strong ownership: identify and prioritise the right opportunities in a technical roadmap for Data Science
• Work hand in hand with product to define the next big things

Benefits

• Choice-first organisation with a culture built around impact rather than hours
• 5 weeks of vacation
• Competitive salary & equity (our compensation philosophy targets 60th - 80th percentile in the top 3 European tech markets)
• Latest MacBook Pro or equivalent
• Remote Office Upgrade budget to spend in your first year to ensure you have the best environment possible to work in
• Complimentary private health insurance (we use Alan )
• Every 6 months we organize a company-wide offsite to discuss where we're going and strengthen the social bonds