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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 ?
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, youll 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 :