Eldorado.gg is a leading marketplace for in-game items, accounts, and services, founded in 2018. Built by a team of 200+ professionals who care about speed, security and user experience. We support 400+ games such as Roblox, League of Legends and Fortnite, attracting more than 12+ million monthly visits and reaching a global audience every day. We value bold ideas, move fast and continuously push the boundaries of digital trading. Join us and be part of a team where your work makes a real impact!

We’re growing and looking for a Data Scientist to take ownership of our Eldorado.gg’s offer ranking and recommendation algorithms. This role sits at the very core of the product: what users see, what they click, and what they buy. You’ll work closely with backend developers and product owners to design, ship, and iterate on ranking logic that runs continuously at scale.

👉 POSITION BREAKDOWN

• Analyze current heuristic ranking to identify weaknesses and conversion drivers;

• Run A/B tests on weight adjustments, new signals, randomization strategies;

• Build data instrumentation: log impressions, clicks, conversions with position/context;

• Generate training datasets from logged user interactions;

• Establish offline evaluation framework (NDCG, MAP) and online testing protocols;

• Build initial supervised models and compare against heuristic baselines;

• Deploy learning-to-rank models with gradual rollout and monitoring;

• Architect scalable ranking stack: candidate generation → scoring → re-ranking;

• Define long-term ML roadmap and establish data science best practices.

👉 WHAT MAKES YOU A GREAT FIT

• 2+ years in data science or ML engineering;

• Data analysis & experimentation: SQL, pandas for exploratory analysis, A/B testing methodology, statistical significance, metric interpretation;

• Feature engineering: design and compute signals from raw data (seller behavior, offer characteristics, user context);

• Python ML fundamentals;

• Pragmatic iteration: comfortable improving heuristics before jumping to ML, knowing when simple beats complex;

• System thinking: design data pipelines and evaluation frameworks that scale, not just one-off analyses;

• Ownership mindset: define multi-phase roadmap from current state to production ML;

• Fluency in both English and Lithuanian (written and spoken);

• Communication: explain ranking tradeoffs and experiment results to product and engineering teams.

👉 BONUS POINTS

• Ranking/recommendation system experience;

• Production LTR experience: deployed learning-to-rank models in search, recommendations, or ads;

• Feature stores: Feast, Tecton, or custom feature serving infrastructure;

• MLOps tooling: MLflow, model monitoring, deployment automation;

• Neural ranking models: transformers, deep cross networks for future evolution;

• Marketplace or e--commerce experience;

• Passion for video games and gaming culture.

👉OUR DATA STACK

• Stitch for data synchronization;

• Google BigQuery for storage and warehousing;

• dbt for data modeling;

• Growthbook for AB testing;

• Amplitude for product analytics;

• Grafana for visualization.

👉 PERKS & BENEFITS

• Growth opportunities: Access to an internal library, latest tools and technologies, professional conferences, and mentorship to level up your skills, opportunities for internal career growth;

• Health & wellbeing: Private health insurance after the probation period, additional sick days (no doctor’s note needed), and the option to join free volleyball games at Delfi Arena with colleagues;

• Office perks: Free parking, a fully stocked kitchen, Friday bun breakfasts, and a gaming room (table football, driving simulator, PS5, Xbox One); we’re pet-friendly and love team activities from game nights to sports events;

• Additional time off: Extra vacation days added annually (+1 day per year), with a cap of up to 10 additional days;

• Equity opportunities: Top-performing employees have the opportunity to be included in the generous company’s stock options program;

• Extra perks: Monthly top-ups for your Eldorado.gg account after probation, gifts for important life events, partner discounts, and referral bonuses;

• Hybrid work model: Built around an office-first mindset – 4 days in-office (Simbiocity, Vilnius) and 1 day remote.

👉 GROSS SALARY

The salary range for this position is 4000€ - 8000€ gross per month, depending on your experience.

👉 WHAT TO EXPECT NEXT

Shortlisted candidates will be contacted by our Talent Acquisition team and invited to complete the following stages: HR interview, hiring manager interview and task.