Senior Data Scientist, Central Data Products

Requirements:

• Machine Learning. You have 5+ years of experience deploying ML models in production coupled with a solid understanding of ML techniques and their practical applications. Experience deploying and maintaining ML models in production is a must.
• Analytics. Ability to turn data into actionable insights for business stakeholders. Experience with hypothesis testing and proficiency in analytics tools (e.g., pandas/polars) and SQL/Spark.
• Experience with LLMs and Agentic AI. You have experience working in production with prompt design, tool use, orchestration (e.g., LangChain), retrieval/RAG, evaluator design, guardrails, and tracing/observability is a plus.
• Software Engineering Proficiency in Python. Knowledge of distributed machine learning and computing frameworks (e.g., Spark) is beneficial.
• Business Acumen. You have experience in a fast-paced business environment, demonstrating result-driven work.
• Communication. Strong skills in explaining complex concepts to both technical and non-technical stakeholders.
• An advanced degree in a quantitative field or equivalent practical experience.

What You'll Be Doing:

• Develop innovative data products that not only enable suppliers to delight our customers but also drive the success of our company.
• Take full ownership of projects, guiding them from the initial business challenge to the deployment of production code. This includes:
  • Analyzing large datasets to uncover meaningful insights
  • Building and maintaining robust data pipelines
  • Establishing rigorous evaluation and monitoring strategies, as well as in-production guardrails. Monitoring and optimizing data products after deployment
• Contribute to the development of our machine learning infrastructure and help establish best practices that will shape our future.
• Work closely with cross-functional technology and business teams, leveraging your unique perspective to solve complex and exciting problems.
• Support the continuous improvement and growth of our team, including participating in recruiting efforts to bring in new talent.

Perks and Benefits:

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in-office collaboration (Mon, Tue, Thur) and two days of optional at-home focus time
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits
• And more...