Senior Data Scientist, Tourlane

Salary not provided

+ Employee stock options

SQL
AWS
Docker
Python
R
NumPy
Pandas
Scikit-Learn
Snowflake
Git
dbt
Mid and Senior level
Berlin

2-3 days a week in office

Tourlane

Tailor-made travel experiences

Open for applications

Tourlane

Tailor-made travel experiences

501-1000 employees

B2CTravelLifestyleMarketplaceLogisticsSaaS

Open for applications

Salary not provided

+ Employee stock options

SQL
AWS
Docker
Python
R
NumPy
Pandas
Scikit-Learn
Snowflake
Git
dbt
Mid and Senior level
Berlin

2-3 days a week in office

501-1000 employees

B2CTravelLifestyleMarketplaceLogisticsSaaS

Company mission

To become the leading tour provider for customized multi-day trips.

Role

Who you are

  • 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

What the job involves

  • 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
  • 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

Our take

In-person travel agents have been hit hard in recent years, meaning many people are losing out on top-tier service when it comes to planning their vacations. Tourlane solves this problem by offering customers the full travel agent experience online.

The company plans and books multi-day trips for individuals and small groups, and has maintained a laser-sharp focus on customer-centric service. This approach has worked well for the company, which is now backed by a number of high-profile entrepreneurs within the travel industry, including the founders of Trivago and Airbnb. The funding and credibility these backers have provided have allowed Tourlane to invest heavily in its technology, ensuring customers have more flexibility in their travel arrangements.

Since receiving substantial funding in 2020, the company has remained steadfast on its course. The financial boost has given the company a strong foundation, and now, its focus is on maintaining momentum and scaling effectively as it navigates the evolving landscape of its industry.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Most candidates hear
back within 2 weeks

78% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Nov 2020

$20m

SERIES C

May 2019

$47m

SERIES C

Total funding: $101m

Company benefits

  • Inclusive environment: bring your whole self!
  • Learning & development
  • Multiple offerings for mental health wellbeing
  • Flexibility to work remotely from almost any country
  • Hybrid working model and office in the heart of Berlin
  • Fresh fruits, muesli & drinks in the office
  • We love having dogs in the office

Company values

  • We love travel
  • Take the call
  • Set foot on Mars
  • Be the customer
  • Act humble & respectful

Company HQ

Kreuzberg, Berlin, BE

Leadership

Previously worked as Senior Global Venture Development at Rocket Internet SE.

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