Data Scientist, Growth Data Products

Requirements:

• Deliver end-to-end solutions: Take independent ownership of data products from concept to deployment.
• Weigh impact vs. complexity: Evaluate project suitability by balancing business value and technical effort.
• Write robust, scalable code: Develop clean, well-documented Python code and optimize system performance.
• Drive insights and experimentation: Conduct deep-dive analyses and set up A/B experiments.
• Ensure reliability: Set up monitoring and alerting for input, output, and metrics.
• Elevate the team: Actively participate in code reviews and contribute to the team's technical roadmap.

Nice to Haves:

• Hands-on experience with LLMs and Agentic AI.
• Familiarity with distributed machine learning frameworks like Spark.
• Prior experience in growth, marketing tech, or e-commerce marketplace.
• Advanced degree in a quantitative field.

What You'll Be Doing:

• Take ownership of data products from concept to deployment.
• Evaluate project suitability based on business value and technical effort.
• Develop clean, well-documented Python code and optimize system performance.
• Conduct deep-dive analyses, set up A/B experiments, and create visualizations.
• Set up monitoring and alerting for system health and contribute to the team's technical roadmap.

Perks and Benefits:

• Annual personal growth budget and mentorship programs.
• Work remotely for 30 days per year.
• Hybrid work approach with in-office collaboration and optional at-home focus time.
• Opportunities for team and company-wide events.
• Monthly transportation and fitness budget.
• Discounts on GetYourGuide activities.
• Language reimbursement program.
• Health and wellness benefits.