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Data Scientist

Data Scientist

Type of work
Employment Type
Operating mode

Tech stack

    Python 3









    nice to have


    nice to have

Job description

Key responsibilities:

  • Partner with our product and marketing teams to understand their needs and provide actionable insights
  • Build predictive models to optimize marketing strategies, enhance user experience, and shape targeting
  • Collaborate closely with cross-functional teams to ensure seamless integration of data-driven initiatives
  • Stay ahead of the curve exploring new techniques and trend in marketing analytics
  • Communicate your analyses outcomes to the management team and other data community members

Job requirements:

  • Education – Bachelor’s or Master’s degree in a relevant field, e.g. data science, computer science, mathematics, econometrics
  • Experience – you have at least 3 years of commercial experience as a data scientist. Consulting and marketing analytics experience are a plus
  • Mindset – you are goal-oriented and independent, skilled in change and time management, business-conscious, able to think long-term and decompose business problems
  • Languages – you are proficient in English (other languages knowledge is a plus)

Technical skills:

  • Excellent knowledge of ML solutions and their impact on business, user experience and operational processes (supervised and unsupervised learning, e.g.: clustering, recommender systems, regression, classification, etc.)
  • Hands-on experience with working with large amounts of user data
  • Proficiency in Python 3, as well as ML and data analysis libraries (e.g. pandas, numpy, scikit-learn, keras/pytorch, etc.)
  • Knowledge and experience in PySpark, relational databases, cloud solutions (e.g. Databricks, Azure, GCP, AWS, Snowflake)
  • Nice to have:
  • experience in leveraging CI/CD pipelines in data-based products
  • experience with data pipelines framework, preferably Kedro
  • experience with CLI tools: bash/zsh

Why join us?

  • Impact: your work will directly influence strategic decisions and operational efficiencies across multiple international markets
  • Innovation: be part of a team that's pushing the boundaries of data analytics, working with the latest technologies and methodologies
  • Growth: this role offers unparalleled opportunities for professional development in a data-driven, technology-forward environment
  • Collaboration: engage with cross-functional teams and share knowledge and best practises, fostering a culture of continuous learning and improvement


  • Flexible work
  • Contract selection
  • Cafeteria worksmile
  • Language learning platform
  • Conceptual freedom
  • Employee Referral Program
  • Promotion opportunity
  • Initiatives and competitions for employees

If you're passionate about using data insights to drive meaningful change in marketing strategies, this role is for you. We're searching for an experienced Data Scientist with a keen focus on Marketing Analytics to support us in our marketing efforts and make a real difference.

As a (Senior) Data Scientist at the heart of our Marketing hub, you’ll embark on a journey of data exploration, unravelling trends, and unlocking insights that redefine our brand’s narrative. Your mission? To wield the power of machine learning techniques to optimize our marketing campaigns, driving brand visibility and sharpening our edge in the market.

If you’re ready to channel your skills into shaping the future of marketing in the logistics industry (and beyond), we’re eager to welcome you aboard.