Senior Decision Scientist, Customer Care Analytics

5+ years of relevant experience interpreting data in an analytics or a data science role

Production-grade SQL and strong working knowledge of Python (e.g., notebooks, modeling, analysis workflows).

Experience with experimentation (statistics, assumptions, and evaluation).

Strong statistical background and proficiency with advanced statistical methods (e.g. causal inference methods, difference-in-differences, regression analysis, propensity score matching)

Strong stakeholder management and the ability to operate with senior leaders in a high-context, ambiguous environment.

Proven ability to turn messy questions into structured analysis, crisp narratives, and decisions with measurable business impact.

Strong customer mindset: you understand user behavior and the “why” behind the numbers.

Excellent communication skills — you can influence without authority and align teams around shared metrics and priorities.

Experience with data visualization and reporting tools (e.g., Looker, Jupyter Notebooks).

Experience working in Customer Care within a marketplace.

Familiarity with ETL/orchestration tools (e.g., Airflow) and/or big data tooling (e.g., Spark, Hive).

Experience working in agile product teams and cross-functional mission setups.

Exposure to LLM APIs (OpenAI, Gemini, Anthropic), especially for operational tooling or workflow augmentation.

Experience mentoring or managing analysts.

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...

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Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.

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