Data Scientist (m/f/d)

Limehome GmbH; München; Hybrid; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Hybrid Office Model

Relocation support

Visa & language support

Workation

Sabbatical

Wellbeing programs

Zusammenfassung

Limehome GmbH is seeking a Data Scientist to turn complex business challenges into scalable statistical and machine learning solutions that drive smarter decisions across pricing, operations, product, and more.

You will design and evaluate advanced ML models, quantify uncertainty, and collaborate with cross-functional teams to productionize models and monitor performance.

Qualifikationen

• Degree in Data Science, Statistics, Mathematics, Computer Science, or a quantitative field with 3+ years applying ML/statistics to real-world problems.
• Strong foundation in probability, statistical inference, regression, Bayesian stats, experimentation, causal inference, and predictive modelling.
• Proven experience developing, validating, and improving ML models in business settings.
• Strong Python programming and modelling skills; excellent SQL and ability to work with large datasets.

Aufgaben

• Design, develop, and continuously improve core pricing algorithms to maximize revenue, occupancy, and profitability.
• Design, develop, and evaluate advanced statistical models and ML algorithms for business challenges.
• Apply rigorous statistical methodologies to quantify uncertainty and generate reliable recommendations.
• Design experiments and evaluation frameworks to measure impact of products, pricing, and initiatives.
• Analyze large datasets to uncover opportunities for growth and improved customer experience.
• Collaborate with Revenue Management, Product, Engineering, and BI to productionize ML models.

Kenntnisse

Python

SQL

Statistics

Machine Learning

Ausbildung

Degree in Data Science, Statistics, Mathematics, CS, or quantitative field

Tools

Pandas

scikit-learn

Jobbeschreibung

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're designed to stay because:

• Hybrid Office Model: 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.
• Limitless learning: We offer you the possibility to choose an external development format that will help you in reaching your full potential without any limits in budget.
• Workation: You have the chance to work twice per year for a duration of up to 4 weeks from a different country in the European Union. Our Limehomies love traveling so we want to give them the chance to work from inspiring new locations regularly.
• Sabbatical: After your 1.5 years with Limehome we offer the possibility for a 3-month sabbatical. You can use it for whatever you want: may it be traveling, spending time with your besties or volunteering.
• Everything for our Limehomies: We focus on your physical wellbeing (Urban Sports Club), to your mental wellbeing (Nilo.health), or even staycations in one of our beautiful Limehomes, and many more suite benefits. Join us and find out!

Who we are:

Limehome is a leading tech-enabled operator in the hospitality industry offering functional, design accommodations across Europe. Using proprietary technology, Limehome delivers comfortable and convenient stays with a seamless digital guest experience for business and leisure travellers. Our vision is to be the first choice in travel for everyone, everywhere. By now, our portfolio consists of more than 10,000 apartments and hotel rooms under contract across 150 cities in 13 European countries.