Senior Data Scientist, Central Data Products — Production ML

GetYourGuide; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Growth budget

Remote days off 30 per year

Hybrid work model

Team events

Transport budget

Discounts on GetYourGuide activities

Language reimbursement

Health and wellness benefits

Job summary

GetYourGuide is seeking a senior ML/Data Scientist to develop innovative data products and own projects from initial business challenges to deployment in production. You will analyze large datasets, build robust data pipelines, and establish monitoring and guardrails for production models.

The role requires 5+ years deploying ML in production, strong Python, SQL/Spark skills, and experience with LLMs and Agentic AI. Collaboration across teams and contribution to ML infrastructure are key.

Qualifications

• 5+ years of experience deploying ML models in production.
• Strong analytics skills with SQL/Spark.
• Experience with LLMs and Agentic AI in production.
• Proficiency in Python and distributed ML frameworks (e.g., Spark).
• Excellent communication with technical and non-technical stakeholders.
• Advanced degree in a quantitative field or equivalent experience.

Responsibilities

• Develop data products that enable suppliers and drive company success.
• Own projects from business challenge to production deployment.
• Analyze large datasets to uncover meaningful insights.
• Build and maintain robust data pipelines.
• Establish evaluation/monitoring strategies and guardrails; monitor in production.
• Contribute to ML infrastructure and best practices.
• Collaborate with cross-functional teams across the business.
• Support recruitment and growth of the team.

Skills

Machine Learning

Analytics

LLMs & Agentic AI

Python

Communication

Education

Advanced degree in a quantitative field

Tools

LangChain

Pandas/Polars

SQL

Spark

Observability tools

Job description

GetYourGuide is seeking a senior ML/Data Scientist to develop innovative data products and own projects from initial business challenges to deployment in production. You will analyze large datasets, build robust data pipelines, and establish monitoring and guardrails for production models.

The role requires 5+ years deploying ML in production, strong Python, SQL/Spark skills, and experience with LLMs and Agentic AI. Collaboration across teams and contribution to ML infrastructure are key.