Data Scientist Marketplace Optimization

Hi We are

*About *

• 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 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

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 *