Data Scientist ➡️ Marketplace Optimization 🧠 📈

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, & 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’re disrupting the industry with 24/7 shop access, hassle-free shopping, transparent delivery, logistics coordination 🚛, & technical support in selecting components 💡

• 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

• analyze customer & supplier behaviors in the marketplace 👉🏻 retention, LTV, churn, purchase paths etc.

• design & launch efficiency levers 👉🏻 recos carousels, win-back campaigns for inactive users, automated alerts for Sales

• build core analytics infrastructure 👉🏻 reporting, dashboards, data integrations

• define the KPI framework & success metrics for the entire organization

• prepare executive-level recommendations & analyses (strategic and operational)

• collaborate with the CTO and Product on using data for decision-making and automation

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

Ideally, you'll bring with you:

Must have:

• 8+ years of experience in data analysis, product analytics, or growth analytics

  • ideally 👉🏻 in marketplaces, SaaS, B2B platform or e-commerce environments

• excellent business process understanding and the ability to translate business problems into data solutions

• end-to-end autonomy 👉🏻 from analysis to solution design and rollout

• strong SQL and proficiency with at least one data visualization tool 👉🏻 Power BI, Looker, Tableau etc.

• proven experience building recommendation systems, pricing models, or similar applied analytics deployed to real users

• hands-on experience with relational databases and large datasets

• self-driven, business-oriented & entrepreneurial mindset 🚀

• proficiency in English 👉🏻 C1 is a must! 🇬🇧

Nice to have:

• Python experience or familiarity with marketing automation/CRM tools

• understanding of marketplace monetization, user retention, and core metrics like LTV, CAC, ARPU

• strong communication skills and comfort working with business leaders; ability to present insights simply and clearly

• knowledge of cloud data infrastructure (AWS/GCP/Azure)

• familiarity with BI tools

🎁 What’s in it for you?

We offer:

• competitive remuneration:

  • fixed base salary and

  • performance based monthly bonus

• contract type of your choice (B2B or UoP)

• paid time off & paid sick leave days

• paid workation 🌴

• company offsite once a year 🌍

• hybrid work model 👉🏻 2 days a week in our Warsaw city-center office 🏢

• private medical care (Lux Med) 🩺

• Multisport card ⚽️

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/