Data Scientist (Solutions Engineering)
Solutions Engineering At Polar Analytics Solutions Engineering at Polar Analytics sits at the heart of Tech, Sales and Custome Success. You'll be architecting the semantic layer that transforms raw commerce data into intelligent, actionable insights. As we scale, you'll design proofs of concept that close deals fast, lead implementations that deliver value in weeks, and unlock new use cases that directly feed back into our product roadmap. This isn't just technical problem-solving-it's building the data foundation that helps indie DTC brands compete and grow faster than ever before. Why This Role?
- Own the semantic layer for commerce agents - Build the unified data model that turns raw Shopify, ad, and retention data into the language that AI agents understand, creating consistent metrics and business logic across every store and channel
- End-to-end impact from pre-sale to expansion - Design compelling proofs of concept that accelerate our sales cycle, then lead implementations that hit time-to-value in weeks while identifying expansion opportunities
- High-leverage, high-ownership environment - Write SQL, architect integrations, and sit shoulder-to-shoulder with revenue leaders where your technical decisions directly impact retention and LTV
- Strategic seat at the table - Work at the critical intersection of data, product, and revenue where your insights shape both customer success and product development
- Drive $1M ARR per quarter - Own the technical close for high-value deals through compelling demonstrations, custom proofs of concept, and seamless technical implementations
- Launch successful features monthly - Collaborate with Product to translate customer needs into shipped features, using direct customer feedback to influence roadmap priorities
- Build power user networks at top logos - Cultivate deep technical relationships with key stakeholders at enterprise accounts, turning them into advocates and expansion opportunities
- Partner with the CS team on deal nurturing - Work closely with Customer Success to identify upsell opportunities, resolve technical challenges, and ensure long-term customer satisfaction
- You think in systems and code fluently - Strong technical foundation with ability to write SQL, architect integrations, and choose the right technology for each challenge
- You thrive on direct customer interaction - Natural ability to translate complex technical concepts into clear business value while turning customer feedback into prioritized development work
- You sprint but never ship half-baked - Bias toward action with unwavering commitment to quality, ensuring every implementation meets both timeline and excellence standards
- You want strategic influence - Seeking a role where data, product, and revenue decisions intersect, with direct input on company direction and customer success
- Try 100 things vs the competitor's one attempt
- Action precedes information
- Growth is compounding.
- Hold a weekly retro and a weekly forward plan.
- Disagree directly, commit fully once a decision is made.
- Do what it takes to win. "Not my scope" is not an excuse. Do what makes us win, not what we feel like doing.
- Set goals you believe in, then hit them. If at risk, reforecast early with a plan to close gaps.
- Low or no impact.
- Lack of desire to win.
- Accepting passive failure.
- Actions that harm users or sacrifice long-term user value.
- Politics and "winning the argument" over winning the market.
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