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Jobs / limehome

Data Scientist (m/f/d)

limehome·München, Bayern, Germanysenior

In short

  • →Científico de datos que desarrolla algoritmos de pricing con ML para maximizar ingresos y ocupación.
  • →Trabajas con product, revenue y engineering para transformar problemas empresariales en modelos escalables y medibles.
  • →Destaca el enfoque en impacto comercial, experimentación rigurosa y producción de modelos en entornos reales.

Fluency in English required with excellent communication skills.

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The questions they'll ask you

1. ¿Cómo diseñarías un experimento para evaluar el impacto de un nuevo algoritmo de pricing en ocupación y rentabilidad?

2. Describe un modelo de ML que hayas desarrollado para un problema empresarial real y cómo lo validaste.

3. ¿Cómo equilibras rigor estadístico con necesidades operativas cuando lanzas un nuevo modelo en producción?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓Título en Ciencias de Datos, Estadística, Matemáticas o campo cuantitativo.
  • ✓3+ años de experiencia aplicando ML y estadística a problemas empresariales reales.
  • ✓Fundamentos sólidos en inferencia estadística, modelos predictivos y causalidad.
  • ✓Experiencia comprobada en diseño de experimentos y evaluación de iniciativas de negocio.
  • ✓Habilidades avanzadas en Python y SQL con datasets analíticos grandes.
  • ✓Comunicación clara de hallazgos técnicos a públicos no técnicos en inglés.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLMachine LearningStatistical ModelingPredictive ModelingA/B TestingCausal InferenceBayesian StatisticsExperiment DesignData Engineering

Who should you write to at limehome?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Shape the Future of Data-Driven Decision Making as our Data Scientist (m/f/d) At Limehome, data is one of our biggest competitive advantages. As a Data Scientist, you'll turn complex business challenges into scalable statistical and machine learning solutions that help us make smarter decisions across pricing, operations, product, and beyond. Working closely with Revenue Management, Product, Engineering, Business Intelligence, and other stakeholders, you'll combine advanced statistical thinking with commercial acumen to create measurable business impact while continuously raising the bar for data-driven decision-making. How you’ll be hosting with heart: Design, develop, and continuously improve our core pricing algorithms—our highest-impact analytical products—to maximize revenue, occupancy, and long-term profitability. Design, develop, and evaluate advanced statistical models and machine learning algorithms to solve complex business challenges and enable smarter decision-making. Apply rigorous statistical methodologies to quantify uncertainty, estimate business impact, and generate reliable recommendations for decision-making. Design experiments and define evaluation frameworks to measure the effectiveness of new products, pricing strategies, and business initiatives. Analyze large and complex datasets to uncover opportunities for growth, operational improvements, and enhanced customer experience. Partner with Revenue Management, Product, Engineering, and BI to translate business questions into scalable analytical solutions and collaborate with Data Engineering to productionize, deploy, and monitor machine learning models. Stay at the forefront of AI, ML, and decision science to elevate our analytical capabilities, while clearly communicating complex findings to both technical and non-technical audiences. What you need to shoot for the stars: Degree in Data Science, Statistics, Mathematics, Computer Science, or a quantitative field combined with 3+ years of hands-on experience applying machine learning/statistics to real-world business problems. Strong foundation in probability theory, statistical inference, regression analysis, Bayesian statistics, experimentation, causal inference, and predictive modelling. Proven experience developing, validating, and improving machine learning models in business environments. Strong programming and modelling skills in Python and experience with modern data science libraries. Excellent SQL skills and experience working with large analytical datasets. Experience designing experiments and evaluating business initiatives, balancing statistical rigor with pragmatic decision-making to deliver simple, high-value solutions over unnecessary complexity. Strong commercial mindset with a passion for exploring new analytical methods/AI tech and translating complex findings into measurable business recommendations. Fluency in English with excellent communication and stakeholder management skills alongside the ability to explain complex concepts to audiences with varying technical backgrounds. We offer a flexible and empowering work environment - you can choose to work 100% from our office or partially from home and the office. Visa & Language Support: We’ll support you during your visa process and with learning German on every language level after passing your probation period. Relocation Support : We'll financially support your move to Munich if you live further away than 300km from our office. Oneteam: We are #oneteam with a transparent company culture by staying up to date with each other through team stand-ups, regular All-Hands and suite events (Summer, Wiesn, Christmas). Growth and Development: We make sure that you keep growing - through constant feedback, peer reviews and exchanges with focus on your development. We offer you the possibility to choose an external development format that will help you in reaching your full

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