Data Scientist (Remote in Poland)

Oversee is revolutionizing how business travel is managed.

Our cuttingedge technology and solutions are the latest in price assurance, advanced travel analytics, and reporting capabilities, providing a comprehensive view of corporate travel spend.

We excel in helping our customers optimize their travel programs, cut costs, and improve the experience for their business travelers.

If you are looking for a dynamic and positive work environment and want to be at the core of solving a global $17B problem Oversee is the place for you!

We’re looking for a Data Scientist who thrives on turning data into intelligent products and actionable insights at a massive scale. You’ll own projects end‑to‑end, from ideation and experimentation through production deployment, and play a pivotal role in shaping Oversee’s next generation of data‑driven travel tools.

The position predominantly involves:

• Design and implement statistical and ML models to solve key business problems, such as dynamic pricing, personalized recommendations, and anomaly detection.
• Conduct advanced statistical analyses and controlled experiments to quantify product impact.
• Collaborating with engineering and product teams to integrate data solutions into production.

• Your impact:

  • Enable clients to uncover hidden savings and insights from their travel data.
  • Play a key role in building datadriven products that manage billions in Air and Hotel Spend.
  • Drive data innovation that shapes Oversee’s next generation of intelligent travel tools.

  • Requirements

    You have:

    • 5+ years of applied industry experience as a Data Scientist.
    • A degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
    • Expert Python skills and fluency with the data‑science ecosystem (Pandas, NumPy, scikit‑learn, PySpark or similar).
    • Strong understanding of statistical analysis, modeling, and machine learning algorithms.
    • Strong SQL and hands‑on experience with large‑scale data warehouses (e.g., Snowflake, Redshift, BigQuery).
    • Proven track record in shipping and monitoring ML models in production.
    • Strong communication skills with the ability to translate complex findings into clear insights.
    • A collaborative mindset with a passion for continuous learning and improvement.

    • Advantages:

      • Domain experience in travel or transportation and familiarity with GDS systems (Sabre, Amadeus, Travelport).
      • Hands‑on experience with AWS and modern data‑engineering tooling (Snowflake, dbt).
      • Contributions to open‑source projects, conference talks, or hackathon wins.
      • Familiarity with agile development methodologies and cross‑functional squads.

      • Benefits

        We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equalopportunity workplace.