Data Scientist (Solutions Engineering)

Polar Analytics: The All-in-One Data Platform for Consumer Brands 🐻‍❄️Polar Analytics simplifies data so brands can make smarter, faster decisions without the complexity of traditional tools. Powerful yet user-friendly, it gives DTC brands the insights they need to scale profitably.🚀 Our mission? To help indie DTC brands compete and grow—faster and more profitably.What Makes Polar Analytics Unique? 💎🔥 4,000+ Brands and GrowingWe’ve scaled to 4,000+ active merchants (Jan 2025) and are on track for 10,000+ this year.🤖 Disrupting a Stale Analytics MarketPolar is revolutionizing the Shopify analytics space with modern data infrastructure built for agentic orchestration—positioning us at the forefront of AI-driven commerce automation.💰 Backed by World-Class InvestorsWe’ve raised $28.5M with Frst, Point9, and Chalfen Ventures, top-tier B2B SaaS investor known for spotting future unicorns early.👥 A Team of eCommerce & Data ExpertsOur team brings experience from leading eCommerce SaaS platforms & Silicon Valley data unicorns, united by a mission to build the next industry leader.Solutions Engineering At Polar AnalyticsSolutions 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 channelEnd-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 opportunitiesHigh-leverage, high-ownership environment - Write SQL, architect integrations, and sit shoulder-to-shoulder with revenue leaders where your technical decisions directly impact retention and LTVStrategic seat at the table - Work at the critical intersection of data, product, and revenue where your insights shape both customer success and product developmentWhat's the Scope?Drive $1M ARR per quarter - Own the technical close for high-value deals through compelling demonstrations, custom proofs of concept, and seamless technical implementationsLaunch successful features monthly - Collaborate with Product to translate customer needs into shipped features, using direct customer feedback to influence roadmap prioritiesBuild power user networks at top logos - Cultivate deep technical relationships with key stakeholders at enterprise accounts, turning them into advocates and expansion opportunitiesPartner with the CS team on deal nurturing - Work closely with Customer Success to identify upsell opportunities, resolve technical challenges, and ensure long-term customer satisfactionThis Job is Made for You If:You think in systems and code fluently - Strong technical foundation with ability to write SQL, architect integrations, and choose the right technology for each challengeYou thrive on direct customer interaction - Natural ability to translate complex technical concepts into clear business value while turning customer feedback into prioritized development workYou sprint but never ship half-baked - Bias toward action with unwavering commitment to quality, ensuring every implementation meets both timeline and excellence standardsYou want strategic influence - Seeking a role where data, product, and revenue decisions intersect, with direct input on company direction and customer successOur Hiring Process 📝We believe in a structured, fair, and transparent hiring process. While the steps may vary by role, here’s what you can expect: Recruiter Screen (20 mins): A call to talk through your current/past experience and your motivations and tell you more about Polar Analytics. Role Fit Interview (30 mins): Here, you'll meet either the Hiring Manager or a team member of a similar level to discuss your ways of working and understand your skillset and ability for the role. Competency Deep Dive (1 hour): This interview usually consists of a practical element (case study, Presentation, Technical Problem Solving etc) designed to give you a broader understanding of how we drive impact at Polar. This will be with the hiring manager and one other team member. Culture Interview (30 mins): A conversation with one of our Culture Champions. We assess your team fit based on our values (see below). We value your time and effort in the application process, and we aim to provide feedback as quickly as possible.Two non-negotiable values:We want to be a 10x startup - starts with everyone having 10x impactThe superceding principle. Prioritize actions with the highest expected impact. If it does not move the needle, do not do it.Customer obsession - exists only to help users.We exist to create value for brands and users. Never ship or act in ways that harm them. Every initiative must clearly increase user value or remove friction to realizing value.Some operating principlesThe only way to win is to move fastTry 100 things vs the competitor’s one attemptAction precedes informationEvery person and every system improves each week.Growth is compounding. Hold a weekly retro and a weekly forward plan. Be ruthless on standards, never rude in delivery.Disagree directly, commit fully once a decision is made. We are here to win, not to be right, or to do what we wishDo 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. Behaviors we do not tolerateLow 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.