Data Scientist - Applied Machine Learning (f/m/d)

Job content

Holidu is one of the fastest-growing travel tech companies worldwide. With more than $100M in funding to date and an international team of travel and technology enthusiasts, our mission is to finally make the search and booking of vacation rentals easy. With our search engine for vacation rentals Holidu we help travelers book the ideal accommodation for the lowest price, and through our software-and-service solution Bookiply we also support vacation rental owners in multiplying their bookings with less work. Do you want to have an impact on millions of travelers worldwide? Then pack your bag, hop on board and get ready for takeoff!

Your future team

• The Data Science Team is part of the Business intelligence department at Holidu and has the clear mandate of turning data into value for the Company.
• You will be part of the data science team, made up of other experienced and passionate data scientists, that is in charge of using Machine Learning and statistical models to improve the Holidu website for our user as well as to deliver business critical model for the internal use of the company. The data science team is working closely together the Analytics team and the Data Engineering team, and is planned to double in headcount in the next year.
• On the user facing side the Data science team is continuously improving the Ranking of the website in order to make it more adaptable to the ever shifting changes in the accommodation industry while at the same time make it more personalized for our users. Moreover Machine learning models are used to personalize the experience of the user through, among others, filters recommendations.
• Machine Learning and Statistical models are also used internally to understand property churn, user and property lifetime value, probability to cancel a reservation, value of keywords for performance marketing.

Our Tech Stack

• Flexible data science environment (Python, Jupyter, Spark, R, TensorFlow, PyTorch, Java, Scala).
• Our data pipelines are developed in house by a team of data engineers with Kafka, Redis, Flink, DynamoDB, Redshift and ElasticSearch.
• Data storage with Redshift and S3.
• Heavy usage of AWS and Git.
• Search engine runs on Elasticsearch.
• Data dashboarding and visualization is done with Looker.

Your role in this journey

• You will work in a squad-based organisation with your team of data scientists and alongside backend developers. Together, you are responsible for delivering an unbeatable product that offers the best possible experience to our users.
• You will be part of the team which is fully responsible for developing and improving our machine learning strategy company wide.
• You will have the freedom to implement your own ideas on how to improve and develop our products further.
• You will make use of our large datasets to create valuable models that will be used by millions of users.
• You will be responsible for intelligently utilizing our data to optimize conversion.
• You will constantly conceive and bring models into production, monitor them and iterate upon your observations to improve their performance.

Your backpack is filled with

• A degree in Machine Learning, Computer Science, Mathematics, Physics or a related field.
• Tools like Pandas, scikit-learn, SQL are second nature to you.
• You are passionate about your work and love to collaborate with others.
• You love Data Science and building world class products! We do and we hope you share our ambition!
• Professional experience as Data Scientist in tackling business challenges using Data Science and Machine Learning.

Our adventure includes

• Have an impact on the millions of people using our product every month.
• Grow with responsibility from day 1 and develop yourself further through regular feedback, workshops and knowledge exchange.
• Use your personal development budget and 2 extra days off to enhance your professional skills by visiting conferences, buying books, attending courses and more.
• Connect and have fun with international, diverse and yet like-minded people at work, regular events and weekly office days with your team.
• Get to know the world with our flexible home office policy and the opportunity to work from other local offices.
• Get in shape with a premium gym membership for a discounted rate.
• Go traveling for 28 vacation days + 13 public holidays in Bavaria with interesting discounts on our Bookiply properties.
• Get a sneak peek at the adventure that awaits you on Instagram @lifeatholidu.

Want to travel with us?
Your first travel contact will be Zack from HR.

We champion diversity in every aspect of life. We encourage applications from all genders, corners of the world and individual backgrounds. Please feel welcome to submit your application without a photo and details on your gender, date of birth, marital status and nationality. If you have a disability or special need that requires accommodation, please let us know.

Location
Munich, Germany

IND-001

Job Types: Full-time, Permanent