HOP ON YOUR NEXT ADVENTURE WITH US!

At Tourlane, we empower travel planners to create travel experiences beyond expectations. We build just the right tools and services to assist them in creating custom itineraries from carefully selected travel elements while delivering exceptional customer care.

Our vision is to provide the best experience in travel, based on our determined spirit and will to win. Our culture centers on impact at speed – emphasizing clarity, precision, and quality. Our customer-centricity, dedication to operational excellence, and focus on making a tangible impact define us.

Founded in 2016 by our CEO Julian Weselek, we have been transforming travel planning in the DACH region and France. Our success is rooted in a highly motivated team, composed of talented professionals from around the world, each contributing unique perspectives and innovative solutions. 

We are looking for a Senior Data Scientist to improve Customer Acquisition, Product Recommendations, Pricing and other high-impact use cases by applying mathematical optimization, machine learning, and generative AI.
Build state-of-the-art algorithms to help customers find their dream vacation. Enjoy working on many different use cases and with many different methods and technologies. Benefit from a fast-paced environment with high autonomy and direct communication with senior leaders.

 

What is the role about?

• Develop, improve, deploy, and maintain predictive data models such as live customer segmentation, customer no-show predictions, trip recommendations, profitability predictions and marketing optimizations.
• Extract information and new features from internal and external data sources to improve our models 
• Own and analyze A/B tests for new features in our products
• Work as one team with data scientists, data engineers, data analysts, and business users
• The tools we use: 
  Machine Learning: Python  (Pandas, Numpy, Matplotlib, Scikit-Learn)
  MLOps: AWS (EKS, ECS, Lambda), Github, Cnvrg, and Docker
  Warehousing and ELT: Snowflake, dbt, SQL
  Causal Inference and Ad-Hoc Analysis: R, Python

 

What will you need to be successful?

• You have an academic degree (Masters or PhD) in an analytical subject (e.g. statistics, computer science, mathematics, economics, data science, operations research, engineering or similar)
• You have at least 4 years of experience working as a Data Scientist in an industry setting, post graduation
• You have broad theoretical and practical knowledge of standard methods in Data Science, e.g. neural networks, decision trees, LLMs, causal inference, A/B testing, etc.
• You have experience working with generative AI, in particular LLMs (including outside of a production environment)
• Proficient in Python for Data Science with strong data engineering experience (SQL, dbt, CI/CD, Git)
• You have experience leading multi-quarter research work involving high uncertainty.

 

YOU ARE THE WORLD

• We value your participation in Tourlane's success and complement your cash compensation with a package of employee stock options (ESOP)
• Flexible working setup to get the most of your working hours: we offer full flexibility in our Hybrid/Remote model, however we do expect that you take advantage of our lively Berlin office 2-3 days per week
• We share your passion for traveling: enjoy working abroad through our new program
• Your wellbeing matters to us: we offer mindfulness classes to take care of your mental health, sessions with Nilo.health
• We support all the diverse communities that make us Tourlane: join or create your own Employee Resource Group (ERG) and connect with Tourlaneans
• Dog-friendly office: we can’t wait to meet your furry friend!

Sounds interesting? We are excited to get to know you!