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 provide the most relevant list of results in our vacation rental search? How can we account for market trends, inventory quality and customer behavior to dynamically improve our products?
HomeToGo’s Data Science team is responsible for supercharging our products, particularly in areas such as search, recommendations, and marketing. Leveraging our extensive demand, product, and supply data, we aim to deliver engagement and revenue-driving intelligence using sophisticated ML models. We are seeking to bolster our Data Science team to elevate these efforts to the next level and expand into new use cases.
As a Senior Data Scientist, you will become a key contributor to improving our most impactful machine learning models. We use machine learning to filter through our massive inventory of over 15 million vacation rentals and curate the best-suited offers for our customers. By improving and creating ranking models, you will help millions of travelers find their perfect vacation rental.
How you’ll add value:
- Help our customers find their perfect vacation stay by showing the right offer to the right customer
- Help our hosts improve their listings by learning what our customers value
- Facilitate ranking models development and productionisation by collaborating with your engineering partners
- Engineer and test clever features for our Ranking ML models
- Facilitate the implementation of models into production by collaborating with your engineering partners
- Analyze A/B test results to explain outcomes and propose further iterations
- Seek out different ways of modeling the user funnel
You’ll be successful in this role if you:
- Have a proven track record as a Data Scientist in e-commerce or other modern digital services
- Have extensive hands-on experience in product analytics, advanced modeling and ML, with a high comfort level using Python and SQL
- Have experience working in areas of Ranking or Recommender Systems, including applications of Gradient Boosting models
- Have experience designing and analyzing A/B tests
- Are familiar with modern large-scale data warehousing solutions (e.g. Snowflake, BigQuery) and/or data processing engines (e.g. Spark, Presto) – ideally in the context of distributed cloud computing (e.g. AWS, GCP)
- Are excited to dig deep into data to figure out the root causes and impacts
- 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
Why HomeToGo?
Your journey with HomeToGo is a two way street - we’ve got you covered! We offer a diverse variety of benefits to enable your career development and make HomeToGo a great place to work, including:
- The essentials: Competitive compensation package, visa sponsorship & relocation assistance*, full IT support & equipment, corporate benefits, modern offices, 27 paid vacation days a year (+ one additional day per year of employment until 32)
- Career growth: 360° feedback, open feedback culture, buddy and mentorship programs from an international team of passionate industry experts
- Personal development: German & Lithuanian language courses, internal and external workshops & trainings, company & team events, Gympass, clubs & sports (e.g. volleyball, running, yoga classes), psychological support
- Startup spirit: Driven by our Leadership Principles: We are fast, nimble, and results-driven - embodying a startup mentality even as a global, public company. We encourage ownership and enable each other to succeed
- Flexible work approach: Office-led and remote friendly approach; employees are offered remote work flexibility for up to 50% of the year, including work from abroad benefits. Plus, access to a Travel Industry Card
- Climate action: Committed to being a pioneer in green travel: We’ve achieved an industry-leading “Low Risk” ESG Rating (16), awarded by Morningstar Sustainalytics, and are a proud member of Leaders for Climate Action
- And so much more…
- Certain conditions apply
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 Booking.com, 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 Agriturismo.it, AMIVAC, Casamundo, CaseVacanza.it, e-domizil, EscapadaRural, Tripping.com 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!
