Senior Data Scientist (f/m/x)

at  Tourlane GmbH

Berlin, Berlin, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate31 Oct, 2024Not Specified31 Jul, 20244 year(s) or aboveGood communication skillsNoNo
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Description:

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.

Responsibilities:

  • 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 DockerWarehousing and ELT: Snowflake, dbt, SQLCausal Inference and Ad-Hoc Analysis: R, Python


REQUIREMENT SUMMARY

Min:4.0Max:9.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

An analytical subject (e.g

Proficient

1

Berlin, Germany