Job Description
Team: Tech
Job Location: Remote, Germany, Remote, Spain
Position Type: Fixed-term
Work Flexibility: Remote
BESTSECRET is the leading European online destination for premium and luxury off-price fashion. The Group offers its members in 27 countries across Europe a superior brand portfolio complemented by a high-end shopping experience. At the same time, BESTSECRET enables its brand partners to clear overstock at scale with minimum visibility and maximum brand equity protection. The unique business model is based on its closed character with an invitation-only customer membership, longstanding brand partner and customer relationships, combined with a tech-focused mindset. BESTSECRET has a strong track record of profitable growth over many years. It generated preliminary revenues of approx. EUR 1,415 million in 2024 and employs around 2,300 people from over 90 nations. The Group draws on a heritage of 100 years in the textile and fashion industry and today is owned by Permira Funds and the founding families Schustermann and Borenstein.
As part of our Data Science unit, you will sit directly with the Pricing team, using your expertise to advance and refine our pricing engine. Your main task will be to design, build, and continuously improve sales and demand forecasts that deliver critical insights for pricing decisions. While your day-to-day work is closely aligned with business stakeholders, you will be supported by—and contribute to—a broader community of data scientists and engineers.

YOUR QUALIFICATIONS

• You are currently pursuing a bachelor’s or master’s degree in a quantitative field (e.g., statistics, computer science, mathematics, engineering, economics).
• You have some hands-on experience with Python and are comfortable working with data using pandas, NumPy, or similar libraries. SQL is a plus.
• Knowledge of basic data analysis concepts and prior familiarity with regression, time series, or forecasting is needed.
• Strong analytical thinking, attention to detail, and a proactive, solution-oriented mindset.
• Eagerness to learn and grow in a real-world business environment.
• Excellent English communication skills.
  

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• Design, build and evaluate a short-term product-level sales forecast for our pricing engine.
• Utilize data science tools (Python, scikit-learn, pandas, etc.) to run experiments and deliver actionable insights to enhance pricing decisions.
• Experiment with adding additional features by querying in our data warehouse and data lake.
• Participate in team discussions, share findings, and work closely with data scientists and business stakeholders to enhance our sales forecasting approach.
• Prepare and present clear results and explanations of forecasting models and their outcomes.