Senior Data Scientist (m/f/d) - Remote (based in Romania)
A small piece of paper with numbers that have the power to change a life forever! Okay... let's replace the paper with an app and one person with 600,000+ monthly users. This is our business!
📌 Your Mission
As our Senior Data Scientist (m/f/d) you will build our understanding of marketing effectiveness: how we measure channel performance, predict valuable users, and turn insights into better decisions on budget, targeting, and personalization.
✅ Your Tasks & Responsibilities
Build predictive models for marketing and user growth use cases, such as LTV, churn risk, propensity to convert, or user segmentation
Support the design and analysis of experiments, holdouts, and A/B tests to understand whether marketing and product actions are creating real impact
Help improve how we measure marketing effectiveness, starting with practical approaches such as channel analysis, attribution, and incrementality tests, and evolving toward more advanced methods over time
Translate model outputs into clear, decision-ready recommendations on budget allocation, channel mix, and audience targeting, with honest trade-offs and uncertainty communicated plainly.
Partner closely with Marketing, UX, Product, and Data colleagues to identify high-impact opportunities and turn ambiguous questions into useful decisions.
🎯 Your Goals in This Role
Within 1 month: Deliver a first working marketing measurement diagnostic or prototype recommendation, such as an attribution readout, channel performance analysis, or budget allocation framework, with documented assumptions and next validation steps.
Within 3 to 4 months: Have at least one predictive model (LTV, churn, or propensity) running on a regular cadence, validated via experimentation and influencing a real marketing decision.
Within 6 months: Operate a repeatable measurement and modelling pipeline, regularly refreshed, monitored, and used by the marketing team to guide budget and targeting decisions.
🚀 Your Key Competencies
Must-have
Strong applied statistics and machine learning, especially regression, classification, forecasting, experimentation, and uncertainty estimation in business contexts.
Solid experimentation skills: designing tests, choosing the right metrics, and interpreting results without overfitting to noise.
Strong data skills: SQL and Python, feature engineering, working with large datasets in cloud warehouses (e.g. BigQuery).
Ability to work end-to-end: from ambiguous business questions to validated model to clear recommendation.
Clear communication: you can explain model outputs, uncertainty, and trade-offs to non-technical stakeholders.
Nice-to-have
Experience with Marketing Mix Modelling or Bayesian methods.
Experience with paid digital channels, CRM, lifecycle, retention marketing, or consumer subscription/app businesses.
💡Your Soft Skills
High ownership: ships, measures, iterates—doesn’t stop at “analysis done”.
Strong stakeholder communication: explains trade-offs, uncertainty, and rollout risks clearly.
Pragmatic prioritization under ambiguity; focuses on highest ROI levers first.
Calm, structured execution (production-quality over “clever hacks”).
Collaborative mindset with Engineering/Data/Marketing/Finance.
🏆 Your Impact in This Role
You contribute to making budget and channel decisions grounded in evidence, not intuition.
You partner across the team to acquiring and retaining users more efficiently by targeting the right people with the right message.
You support faster learning cycles by helping design strong experiments, interpret results accurately, and build on insights over time.
You contribute to building a measurement foundation that scales beyond marketing into other parts of the business.
🎓 Your Background – Education & Experience
Degree in Statistics, Mathematics, Computer Science, Econometrics, or a related quantitative field, or equivalent demonstrated skill.
4+ years of experience in Data Science or Applied ML
🎁 What we offer you:
Remuneration & work-life balance:
Competitive salary and trust-based working hours.
Private health insurance.
Generous training budget.
Extraordinary team events.
Meal benefit.
Communication & trust:
Open, honest and direct communication. Your ideas are welcome!
A feedback meeting every quarter to help us grow together.
We encourage innovation and are open to new ideas that push the boundaries.
Modern working:
Everything you need for your daily work: MacBook, monitor, headphones and more.
Individual training:
One training day per month and a generous training budget for your personal development.
Buddy program:
An experienced team member will support you from day one to help you get started.
The team
We are a colorful bunch from different nations and backgrounds. We don't distinguish by religion, gender, age, marital status... For us, the focus is on what you can do!
🪴Our values:
MAKE IT HAPPEN 💪🏼
Drive results - Own the problem, the goal, and the outcome through self-organization and decisions backed by data
Speak up with courage - Challenge ideas and raise issues directly when it matters
Getting things done - Be pragmatic, keep momentum, and bring the energy
Deliver quality impact - Ship solutions that move our mission and strategic goals forward
WIN TOGETHER 💚
Communicate openly and respectfully - Be transparent, assume positive intent, and set aside own ego when interacting with others
Help others win - Proactively share knowledge, time, and strengths in an interdisciplinary set-up
Work across cultures - Learn from others’ perspectives and actively refine own style for trust-based collaboration in a diverse team
Bring team spirit - Create moments of joy and belonging that fuel big outcomes together
SHAPE THE FUTURE 🚀
Experiment to learn - Run tests, measure outcomes, treat mistakes as an invitation to learn and adapt insights into action
Spot opportunities - Stay close to customers and market trends to identify what’s next
Build user-first innovation - Deliver trustworthy, data-driven solutions and services that set the bar
Grow yourself - Challenge and reflect on the way you work, seek feedback, and keep developing your skills
👉 Sound like you? 📩 https://nextlottogmbh.teamtailor.com/
- Department
- Marketing
- Locations
- Romania (Employee of Record)
- Remote status
- Fully Remote
- Employment type
- Full-time