13d 2h ago
Senior Manager, Product Data Science
Tripadvisor·Data Scientist (AI/ML) · Travel
📡Remote In-Country
|Polandmlpythonsql
Senior Manager, Product Data Science
Tripadvisor | Data Scientist (AI/ML) | Travel
Remote In-Country
Full Time
Poland
Position:
Senior Manager, Product Data Science & Analytics
Company:
Tripadvisor
Location:
Poland
Employment type:
Not Specified
Work Arrangement:
Not Specified
Short Summary:
As a Senior Manager of Product Data Science, you will lead a high-performing team of Analysts and Data Scientists, ensuring data science and product analytics are applied consistently across multiple product areas.
Responsibilities:
- Lead, develop, and grow a team of Product Analysts and/or Data Scientists.
- Drive effective goal-setting, planning, and execution processes across Product Data Science.
- Set and continuously raise the bar for analytical quality and experimentation rigor.
- Act as a senior technical and strategic leader, reviewing high-impact analytical work.
- Partner closely with senior leaders to define priorities and shape roadmaps.
- Translate ambiguous business problems into structured analytical problems.
- Drive adoption of scalable analytical frameworks and AI-enabled tooling.
- Champion best practices in experimentation and customer understanding.
- Build and maintain strong partnerships with Data Platform and Data Engineering.
- Identify and remove systemic blockers to high-quality analytics delivery.
- Influence and align cross-functional stakeholders across multiple product domains.
Requirement:
- Extensive experience in data science or a similar quantitative role.
- Expert Level proficiency in Python and SQL.
- Deep experience with statistical modeling and machine learning techniques.
- Demonstrated ability to define and operationalize product metrics.
- Proven track record of driving strategic impact and leading technical discussions.
- Experience scaling analytics or data science capabilities.
- Outstanding leadership skills with experience in mentoring teams.
- Exceptional collaboration and communication skills.
- Proven ability to build strong relationships across functions.
- Bachelor's degree in Statistics, Mathematics, Data Science, or related field.
Benefits:
Not Specified
Senior Manager, Product Data Science & Analytics
Company:
Tripadvisor
Location:
Poland
Employment type:
Not Specified
Work Arrangement:
Not Specified
Short Summary:
As a Senior Manager of Product Data Science, you will lead a high-performing team of Analysts and Data Scientists, ensuring data science and product analytics are applied consistently across multiple product areas.
Responsibilities:
- Lead, develop, and grow a team of Product Analysts and/or Data Scientists.
- Drive effective goal-setting, planning, and execution processes across Product Data Science.
- Set and continuously raise the bar for analytical quality and experimentation rigor.
- Act as a senior technical and strategic leader, reviewing high-impact analytical work.
- Partner closely with senior leaders to define priorities and shape roadmaps.
- Translate ambiguous business problems into structured analytical problems.
- Drive adoption of scalable analytical frameworks and AI-enabled tooling.
- Champion best practices in experimentation and customer understanding.
- Build and maintain strong partnerships with Data Platform and Data Engineering.
- Identify and remove systemic blockers to high-quality analytics delivery.
- Influence and align cross-functional stakeholders across multiple product domains.
Requirement:
- Extensive experience in data science or a similar quantitative role.
- Expert Level proficiency in Python and SQL.
- Deep experience with statistical modeling and machine learning techniques.
- Demonstrated ability to define and operationalize product metrics.
- Proven track record of driving strategic impact and leading technical discussions.
- Experience scaling analytics or data science capabilities.
- Outstanding leadership skills with experience in mentoring teams.
- Exceptional collaboration and communication skills.
- Proven ability to build strong relationships across functions.
- Bachelor's degree in Statistics, Mathematics, Data Science, or related field.
Benefits:
Not Specified
Required Skills
mlpythonsql
Required Languages
🇬🇧 English
Key competency: Data Scientist (AI/ML)