Senior Data Scientist - Recommendations (m/f/d)

Permanent employee, Full-time · Berlin

Explore a new world of possibilities
At HomeToGo, we’re on a mission to make incredible accommodation easily accessible for everyone. Our team is united by a passion for travel, driven by innovation and impact, and guided by open-minded leaders at every level. Our commitment to recognizing and empowering exceptional talent is the foundation of our growth. We are actively hiring candidates from all around the world, including sponsoring visas for Germany. An amazing journey of opportunity with an international team lies ahead - join us!
Your future contribution

Which destinations or categories of rental homes should we recommend to customers when they browse our website or receive our newsletter? How can we account for market trends, customer behavior, or a customer’s geographic location to dynamically improve recommendations?

HomeToGo’s Recommendations team is responsible for the platforms and services that serve our customers the right content at the right time at the right touchpoint. We are just starting out to use our extensive demand, product, and supply data to deliver engagement and revenue-driving recommendations in real-time, using sophisticated machine-learning models. Going forward, we intend to develop recommendations into a core competency for HomeToGo and a high-priority lever for us to drive increased growth, customer value and retention, and long-term profitability.

As Senior Data Scientist, you will partner with our ambitious and forward-thinking colleagues in the Marketing, Analytics and Engineering teams – alongside Data Scientists from other HomeToGo teams – and apply data science and machine learning skills to bring the next generation of our multi-channel content recommendation engine to life. This is an exciting opportunity to join a growing team with a tangible impact on the performance of HomeToGo overall. You will get to work on problems that are intellectually challenging and drive real, measurable impact through our online A/B test platform.

How you’ll add value
  • Design quantitative models (leveraging machine learning and advanced analytics) to drive customer engagement and booking conversions
  • Ensure proper selection of model offline quality metrics as well as an adequate level of model explainability
  • Facilitate implementation of models into production by working with your engineering partners
  • Serve as a consultative and creative partner for business and product stakeholders – understanding their needs and translating them into models
  • Shape our long-term data science strategy as you help build a close-knit community of Data Scientists at HomeToGo
You’ll be successful in this role if you
  • Have a proven track record as a Data Scientist 
  • Have solid experience with recommender systems
  • Obtained an MSc or PhD, with a strong academic record, ideally in Mathematics, Computer Science, Physics, Economics, or another quantitative field
  • Have extensive and hands-on experience in advanced modeling and machine learning and a high comfort level with Python and SQL
  • Are familiar with large-scale data processing engines (e.g. Apache Spark) – ideally in the context of distributed cloud computing (e.g. AWS, GCP)
  • Have the ability to thrive in a cross-functional setting: strong communication skills, ability to synthesize takeaways for non-technical partners, and a desire to influence business decisions
  • Bring intellectual curiosity, a desire for continuous learning, and a collaborative team-player attitude
What HomeToGo offers
  • Career growth opportunities and promotions, 360° feedback and open feedback culture, mentoring opportunities from an international team of passionate, industry experts.
  • Culture driven by our Leadership Principles: entrepreneurial, results-driven, encouraging ownership and enabling each other to succeed. Transparency about company goals, collaboration and support from an international team. 
  • Caring for the environment (proud to be a certified ClimatePartner and a climate neutral company!) as well as our employees (work-life balance, weekly yoga classes, personal training discounts, mentoring program and psychological support). 
  • Attractive benefits package, including competitive compensation, visa sponsorship and relocation support. Additional benefits include language courses, full IT support and equipment, internal workshops and training, company and team events, modern and centrally-located office, additional holidays, Travel Industry Card.
Check out what your future colleagues have said about us on Glassdoor and Kununu!
About us
HomeToGo is the marketplace with the world's largest selection of vacation rentals, listing millions of offers from thousands of trusted partners, including, Vrbo and TripAdvisor. From vacation homes, cabins, beach houses, apartments, condos, house boats, castles, farm stays and everything in between, HomeToGo combines price, destination, dates and amenities to find the perfect accommodation for any trip worldwide.

Founded in 2014, HomeToGo operates localized apps & websites in 25 countries across Europe, North America, South America, Australia and Asia-Pacific. HomeToGo also operates brands such as, AMIVAC, Casamundo,, e-domizil, EscapadaRural, and Wimdu.

HomeToGo is an Equal Opportunity Employer, committed to hiring and nurturing exceptional talent, representing various backgrounds, perspectives and skills. We are authentically candid and open-minded, fostering a safe environment for diverse opinions. Our hiring decisions are based on qualifications, merit and business needs. We do not discriminate against race, ethnic origin, gender, sexual orientation, religion, political, ideological or religious views, disability or age.

We are committed to creating and maintaining a workforce of equality and diversity at HomeToGo and to provide opportunities to everyone. We therefore welcome your application even if you aren't completely confident that your experiences fit the job description criteria. We would really love to get to know you!
Your application!
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