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Paris, France

Data Scientist (Solutions Engineering)

1 yrs
Data/Analytics
October 24, 2025

Polar Analytics

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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 Growing

We’ve scaled to 4,000+ active merchants (Jan 2025) and are on track for 10,000+ this year.

🤖 Disrupting a Stale Analytics Market

Polar 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 Investors

We’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 Experts

Our 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 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?

What's the Scope?

This Job is Made for You If:

Our 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:

1. Recruiter Screen (20 mins): A call to talk through your current/past experience and your motivations and tell you more about Polar Analytics.

2. 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.

3. 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.

4. 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 impact

The 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 principles

The only way to win is to move fast

Every person and every system improves each week.

Be ruthless on standards, never rude in delivery.

We are here to win, not to be right, or to do what we wish

Behaviors we do not tolerate