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 500,000+ monthly users. This is our business!
Your Mission
As Senior Data Scientist (m/f/d) - Build decisioning and optimization models that measurably improve how we allocate budgets, choose placements, prioritize experiments, and personalize user communication - while meeting production-grade engineering standards (reliable pipelines, monitoring, and safe deployment). This role exists to turn data into automated or semi-automated actions across marketing and adjacent business functions.
Your Tasks & Responsibilities
- Build prediction models (e.g., conversion/CPA forecasts, propensity/LTV, churn risk, creative or placement performance signals) with strong validation and calibration.
- Build decision policies: rules + constrained optimization (and bandits where appropriate) for allocation, placements, pacing, creative rotation, and personalization.
- Design and analyze experiments/incrementality tests to validate models and policies (not just offline metrics).
- Productionize with “MLE-quality”: reproducible pipelines, versioning, monitoring, alerting, and safe rollback; partner closely with Engineering/Data.
- Translate outputs into decision-ready guidance and clear trade-offs (expected impact, uncertainty, constraints).
- Maintain concise documentation of models/policies, data dependencies, and decision logic.
Your Goals in This Role
- Within 1 month: Deliver a first working “Decisioning MVP” (one high-impact optimization use case) that produces actionable recommendations on a weekly cadence, with documented assumptions and evaluation.
- Within 2 months: Have 2 decision models/rule systems running in production-like operation (scheduled, monitored, versioned), influencing real decisions (budget/placement/creative/personalization).
- Within 3–4 months: Launch a personalization or allocation model that is validated via experimentation (holdout/A-B) and shows measurable lift vs. baseline policy.
- Within 6 months: Operate a repeatable pipeline for continuous learning (re-training/refresh + monitoring + guardrails) and ship at least 4 high-impact decisioning/optimization improvements used by teams.
Your Key Competencies
Must-have
- Strong applied ML + statistics (modeling, evaluation, calibration, leakage prevention, uncertainty-aware thinking).
- Experience building decisioning/optimization (constraints, policies, experimentation-driven iteration; bandits a plus).
- Solid engineering fundamentals: clean code, testing mindset, reproducible pipelines, monitoring/alerting, and secure handling of data/secrets.
- Strong data skills: SQL + Python, feature engineering, data QA, and working with warehouses/lakes.
- Ability to run end-to-end delivery: problem framing model/policy validation rollout measurement.
Nice-to-have
- Ads/marketing domain (DSPs/walled gardens, attribution/MMP concepts) and/or personalization (CRM/push).
- Causal inference / uplift modeling experience.
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
- Higher ROI and fewer wrong moves through evidence-based allocation and optimization.
- Faster learning cycles via experimentation-backed model iteration.
- Reduced manual decision work through reliable decisioning systems and guardrails.
- A scalable foundation for personalization and automation beyond marketing.
Your Background – Education & Experience
- Masters Degree in Computer Science, Data Science, Statistics, Mathematics, Econometrics, or Business Informatics (or equivalent proven skill).
- 5–10+ years experience in Data Science / Applied ML, with at least one example of models/policies used in production.
- Proven experience working with engineers on production constraints (monitoring, reliability, safe deployment).
What we offer you:
Remuneration & work-life balance:
- Competitive salary and trust-based working hours.
- Private health insurance.
- Generous training budget.
- 2 extraordinary team events (4 days) per year.
- 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/
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