sun.store
Data Scientist ️➡️ Marketplace Optimization 📊
sun.storePoland4 days ago
Full-timeRemote FriendlyAnalyst, Information Technology
Hi! We are sun.store! ☀️

About Sun.store:

  • we are the biggest B2B marketplace for photovoltaic (PV) components on the market ⚡
  • we launched the platform in October 2023, and since then we’ve been scaling at lightning speed 🚀
  • thanks to sun.store more than 35,000+ registered users from 40+ countries have access to 8.9 GW+ of solar components from 200+ brands located in 1000+ European warehouses 📦
  • we are disrupting the industry and setting new standards in 24/7 shop access, hassle-free shopping and delivery transparency – plus logistics coordination & technical support in component selection 💡
  • we are Warsaw-based 📍
  • powered by a team of 31 talented & ambitious individuals building something exceptional together! 🚀

Get to know us better 👉 https://sun.store/en/about-us

We are hiring! 🚀

Position: Data Scientist ➡️ Marketplace Optimization 🧠 📈

We’re looking for an ambitious Data Scientist who will:

👉🏻 dive deep into our data,

👉🏻 uncover actionable insights, and – together with our Product Team…

👉🏻 build data-driven tools & algorithms that go to production, not to slides.

This role is all about using data to directly shape our marketplace, pricing, and user experience! Impact - guaranteed! 🚀

💥 Why join us?

  • impact at scale – your models and analytics will… shape pricing, recommendations, and growth levers of the fastest-growing B2B solar marketplace in Europe!
  • fast-paced growth – be part of a dynamic, innovative environment where your ideas quickly turn into reality ⚡
  • strong team & culture – work alongside talented & sharp minds who value ownership, curiosity, and getting things done (fast)! 🤝

🔎 Who are we looking for and what’s needed to succeed in the role?

💎 Product & Business Impact

You Are Someone Who Will:

  • connect models to money,
  • choose metrics that matter 👉🏻 CTR, CVR, take-rate, margin etc.
  • design experiments that prove value 💰

💎 ML/Analytics Excellence

You are strong in…

  • supervised/unsupervised methods,
  • evaluation,
  • feature engineering…

and you know when a simple baseline beats a brittle fancy model 📊

💎 Prioritization

You are someone who will…

  • separate signal from noise,
  • ship MVPs fast, and…
  • iterate, when needed! 🚀

💎 Communication

You Are Someone Who:

  • can explain trade-offs and uncertainty crisply 👉🏻 Stakeholders leave meetings knowing the “so what”!

🎯 What will you do?

Your Mission Will Be To:

  • explore & analyze large datasets to spot patterns, trends and actionable insights
  • design & implement data-driven tools & algorithms in collaboration with the Product team
  • provide ongoing analytics to support business & product decisions
  • develop predictive models & recommendation systems for marketplace optimization
  • translate complex data into clear insights for business & technical teams

In Practice, You Will:

  • build & iterate recommendation systems 👉🏻 to improve CTR/CVR & revenue per session
  • design pricing & price-competitiveness models 👉🏻 dynamic pricing, margin guardrails & promo strategy
  • create forecasting & demand-supply insights 👉🏻 to reduce stock-outs and dead stock
  • detect anomalies & fraud 👉🏻 suspicious listings or abnormal conversions
  • partner with Product & Engineering Teams to take models from prototype to production (AB tests, monitoring, retraining)
  • build lean BI assets (dashboards/metrics) enabling self-serve decisions for Commercial & Operations Teams
  • translate complex findings into clear, actionable narratives for both technical and non-technical stakeholders.

Example projects you might work on upon joining…

  • „Next Product to Buy” 👉🏻 a recommendation engine suggesting attractive offers to users based on:
    • their purchase history,
    • behavior of similar users,
    • current trending offers on the platform.
  • „Pricing Analysis Tool” 👉🏻 an analytics module for our merchants showing:
    • which of their offers are competitively priced,
    • where they could improve margins by adjusting prices,
    • which products are underperforming and why.
📌 Requirements

Must Have:

Ideally, you'll bring with you:

  • solid experience as a Data Scientist / Data Analyst
    • ideally 👉🏻 in marketplaces, B2B platform or e-commerce environments
  • proven experience building recommendation systems, pricing models, or similar applied analytics deployed to real users
  • ability to work hands-on with relational databases and large datasets
  • strong problem-solving skills
  • self-driven, business-oriented & entrepreneurial mindset 🚀
  • proficiency in English 👉🏻 C1 is a must! 🇬🇧


Nice-to-have:

  • strong knowledge of cloud data infrastructure (AWS/GCP/Azure)
  • familiarity with BI tools

🎁 What’s in it for you?

We Offer:

  • competitive salary
  • contract type of your choice (B2B or UoP)
  • paid time off & paid sick leave days 🌴
  • hybrid work model: 2 days/week in our Warsaw city-center office 🏢
  • workation & company offsites 🌍
  • private medical care (Lux Med) 🩺

What’s next? 🗓️

Recruitment Process:

  • Stage 1: Initial Interview 👉🏻 online call with Monika, our Recruitment Manager (45 min)
  • Stage 2: In-depth Interview with the Leader 👉🏻 online meeting with Bartosz, our Co-founder (60 min)
  • Stage 3: Recruitment Task 👉🏻 online call to test your skills
  • Stage 4: Additional Interview 👉🏻 online meeting with with Agata, CEO & Co-founder (60 min)

If you’re ready to shape the future of the fastest-growing B2B solar marketplace in Europe - we want to meet you! ✨

👉 Apply today! Let’s build something exceptional together!

About Sun.store:

🔗 https://sun.store/en

🔗 https://www.linkedin.com/company/sun-store-marketplace/

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