Data Scientist Jobs in Berlin, EEA

Lever was founded eight years ago to tackle the most strategic challenge that companies face: how to recruit and hire top talent. We’re building the next generation of hiring software that companies like Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify rely on to grow their teams. We've rethought the talent acquisition paradigm and are the innovation leaders in our space and looking for the right people to join us as we scale.   We’re extraordinarily proud of the company we’ve built so far (not to mention humbled to be recognized as the #1 place to work in San Francisco, as well as a top workplace in the entire United States). Our people are Lever’s biggest competitive advantage and we’ll continue investing in our “Leveroos” and people-first culture.     We're hiring a data scientist! Requirements SQL Python C++ Benefits: - - - - Find more English Speaking Jobs in Germany on Arbeitnow

Senior Data Scientist (f/m/d) at Moss. Apply via Ashby.

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About Consumer Analytics at Wolt  The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought. The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence.  About the Consumer Data Science Team The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought. The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence.  What you'll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational and actionable data-driven experience that requires a good mix of technical and stakeholder engagement skills. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role. Data Scientists at Wolt take ownership of the business outcomes.  If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, we're looking for someone like you. Our humble expectations 5+ years of experience in an analytics or data science position Experience working with product funnels and

Are you excited about building ML systems that make predictions in real-time? Are you driven by building things end-to-end, from research to live systems? If the answers to the above questions are yes, then this role could be ideal for you! We are building real-time prediction systems for competitive esports (CS2, Dota 2, League of Legends). Our models power live betting markets, producing continuously updated win probabilities, handicap lines, over/under totals, and specialty markets during matches. We are looking for a Senior Data Scientist to lead the research, design, and continuous improvement of our core predictive models. You will be the driving force behind the math, statistical logic, and feature engineering that make our models highly accurate and profitable. You will tackle complex problems in high-frequency data, design rigorous backtesting frameworks, and work on bridging theoretical research and live product features. What you will do Design, build, and optimise the machine learning models and statistical frameworks that power our real-time odds and betting markets Extract deep predictive signals from raw, high-frequency esports telemetry, turning complex in-game mechanics into structured modelling features Focus on model performance and probability calibration. Design rigorous backtesting frameworks to prevent data leakage and evaluate performance against historical market baselines Create the mathematical rules and probabilistic derivations that translate baseline win probabilities into complex derivative markets (handicaps, totals, player props) Ensure your models are seamlessly translated into production-grade pipelines and microservices Your skills will include (must have) 5+ years of professional experience in data science, quantitative research, or statistical modelling Deep, intuitive understanding of probability, statistics, and machine learning theory Expert-level skills in the Python data stack. You write clean, production-grade code Proven experience designing complex backtesting environments and defining custom evaluation metrics for unique business problems Nice to have Strong understanding of betting concepts, odds, overround, market-making, or quantitative trading. You understand what it means to build models where calibrated probabilities directly drive revenue Experience modelling off streaming data or data that updates continuously over time Deep knowledge of competitive esports (CS2, Dota 2, LoL), the underlying game mechanics, and the competitive meta Understanding of modern MLOps principles and experience with tools like MLFlow, Airflow, etc. Find more English Speaking Jobs in Germany on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Frankfurt am Main oder Essen ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Du gestaltest und leitest zielstrebig herausfordernde Data Science Projekte in einem interdisziplinärem Team Routiniert erkennst Du die Bedürfnisse Deines Kunden und entwickelst effektive, datengetriebene Lösungen Aus den Datensätzen Deiner Kunden extrahierst Du die für die Aufgabenstellung entscheidenden Daten Du kreierst innovative Lösungen mithilfe moderner Methoden aus den Bereichen Statistik, Machine Learning, mathematischer Optimierung und Visual Analytics Enge Zusammenarbeit mit Deinem Tribe Lead (Vorgesetzte:r) Du kommunizierst Deine Ergebnisse erfolgreich Deinem Kunden und begleitest anschließend die umfassende Implementierung Deiner Idee zusammen mit dem Data Engineering Team Als Expert:in mit Fachwissen nimmst Du an Kundenterminen teil Dein Profil Data ist auch in Deiner DNA ? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem datengetriebenem Studiengang Fließende Deutsch- und Englischkenntnisse in Wort und Schrift sind erforderlich Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien. Mindestens 5 Jahre Projekterfahrung im Data Umfeld, idealerweise in einem Beratungsunternehmen Mindestens 3 Jahre praktische Erfahrung mit Cloud Technologien (Azure, AWS) Sehr gute Kenntnisse in Software Development (Python, object oriented) Praktische Erfahrung in Data Science Bereichen wie LLMs/NLP (z.B. Transformer, Conversational AI) oder Computer Vision (z.B. Stable Diffusion, OCR) Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – „einer für alle, alle für einen!“, unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlre

<div class="content-intro"><p><img style="display: block; max-width: 100%;" src="https://atolls.com/wp-content/uploads/2025/10/Atolls-Banner_01_Greenhouse_1400x200-scaled.jpg" alt="Atolls top banner"></p> <hr> <h3 class="mb-2 whitespace-pre-wrap"><strong>Atolls is the world’s largest community-driven shopping platform, active in 20+ markets. </strong></h3> <p class="mb-2 whitespace-pre-wrap">We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers.</p> <p class="mb-2 whitespace-pre-wrap">Our 1,000+ team across 10 countries builds products used every day at global scale, where you’ll have real ownership and see your impact. Want to shape the destinations people rely on to shop with confidence? Keep reading.</p></div><section> <section><hr> <h3><strong>About This Role:</strong></h3> <p>We are looking for a <strong>Data Scientist</strong> to join our <strong>Community Data Team</strong>. At Atolls, you will be part of a growing applied ML capability — working on real problems that have a direct impact on how millions of users discover and interact with deals every day. You will build and iterate models that go into production — from predicting churn to understanding what makes a deal resonate with a community. We have rich behavioral data, a strong domain, and a clear belief that applied ML is one of the key ways we stay ahead. Beyond model building, you will also dig into complex statistical analyses and define the metrics that help us truly understand our users. </p> <p>At Atolls, your role will be instrumental in helping us lead our community intelligence and data integrity efforts. As a key part of our team, you will be directly involved in shaping the intelligence behind the digital destinations our users rely on throughout their shopping journeys. Your work will help us understand our community better, build smarter products, and make sure millions of consumers can make good, fair, and rewarding choices.</p> <p> </p> <hr> <h3><strong>Our Benefits:</strong></h3> <p>At Atolls, we believe in nurturing both your professional and personal growth. Here’s what you can expect:</p> <ul> <li>A culture that values personal and professional development, with internal mobility opportunities.</li> <li>A supportive and open-minded team that embraces diverse perspectives and innovative ideas.</li> <li>32 days of paid vacation plus your birthday off, giving you the time you need to recharge.</li> <li>A flexible hybrid working scheme to balance work and life.</li> <li>Access to a

Fraud Data Scientist at Billie. Apply via Ashby.

Atolls is the world's largest community-driven shopping platform, active in 20+ markets.  We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers. Our 1,000+ team across 10 countries builds products used every day at global scale, where you'll have real ownership and see your impact. Want to shape the destinations people rely on to shop with confidence? Keep reading. About This Role: We are looking for a Data Scientist to join our Community Data Team . At Atolls, you will be part of a growing applied ML capability — working on real problems that have a direct impact on how millions of users discover and interact with deals every day. You will build and iterate models that go into production — from predicting churn to understanding what makes a deal resonate with a community. We have rich behavioral data, a strong domain, and a clear belief that applied ML is one of the key ways we stay ahead. Beyond model building, you will also dig into complex statistical analyses and define the metrics that help us truly understand our users.  At Atolls, your role will be instrumental in helping us lead our community intelligence and data integrity efforts. As a key part of our team, you will be directly involved in shaping the intelligence behind the digital destinations our users rely on throughout their shopping journeys. Your work will help us understand our community better, build smarter products, and make sure millions of consumers can make good, fair, and rewarding choices.   Our Benefits: At Atolls, we believe in nurturing both your professional and personal growth. Here's what you can expect: A culture that values personal and professional development, with internal mobility opportunities. A supportive and open-minded team that embraces diverse perspectives and innovative ideas. 32 days of paid vacation plus your birthday off, giving you the time you need to recharge. A flexible hybrid working scheme to balance work and life. Access to a learning budget and internal training to help you grow in your role. Mental health coaching to support your well-being. Regular global and local get-togethers to celebrate successes and build connections. The possibility of taking a sabbatical after three years with the company. A cloud-based company setup, providing flexibility and collaboration opportunities no matter where you are. *These are global benefits that apply to all employees, with additional local perks based on your location. Responsibilities: In this role, you will: Data Science & Modeling: Build and iterate ML models - Churn Prediction, Sentiment Analysis, Member Segmentation, and more — using Python (Pandas, NumPy, Scikit-learn, XGBoost). You will learn and grow through collaboration and code reviews, with the goal of taking independent ownership of models over time. Deep-Dive Community Analytics: Analyze complex member behaviors

Founding Data Scientist at Almedia. Apply via Ashby.

Data Scientist at Almedia. Apply via Ashby.

Data Scientist at Peec. Apply via Ashby.

Data Scientist at Forto. Apply via Ashby.

Lead Credit Risk Data Scientist at Billie. Apply via Ashby.