Data Science Manager, Product
Description For Data Science Manager, Product
PayPal is seeking a Data Science Manager to lead their P2P Analytics team, focusing on shaping product strategy through data-driven insights. This role combines technical leadership with business impact, requiring expertise in experimentation, causal inference, and large-scale data analysis. The position offers a unique opportunity to work with PayPal's flagship P2P payment products, driving decisions that affect millions of users globally.
The role demands a blend of technical expertise and leadership skills, with responsibilities ranging from designing large-scale experiments to mentoring data scientists and collaborating with cross-functional teams. The ideal candidate will have 7+ years of analytical experience and strong proficiency in tools like SQL, Python, and various big data technologies.
Working in PayPal's balanced hybrid model (3 days office, 2 days flexible), you'll be part of a company that's been revolutionizing global commerce for over 25 years. The position offers competitive compensation ($96,900-$234,300) and comprehensive benefits including health coverage, equity, and professional development opportunities.
This role is perfect for someone who combines deep analytical capabilities with strategic thinking and leadership skills. You'll be instrumental in shaping the future of peer-to-peer payments while working with cutting-edge technology and data at scale. The position offers growth opportunities within a company that values inclusion, innovation, collaboration, and wellness as its core principles.
Responsibilities For Data Science Manager, Product
- Design experimentation or AB Testing at scale
- Make data visually appealing and simple to navigate
- Identify key metrics and drive building of exec-facing dashboards
- Identify key business levers and establish cause & effect
- Engage in problem solving with Risk, Product, Marketing teams
- Create close relationships with stakeholders
- Support a team of Data Scientists
Requirements For Data Science Manager, Product
- 7+ years of professional experience within an analytical role
- Experimentation (Hypothesis Testing or AB Testing) knowledge and experience
- Knowledge of Causal Inference Techniques
- Advanced SQL experience
- Experience with Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, BigQuery
- Strong written and verbal communication skills
- Bachelor's/Master's degree in a quantitative field
- Experience analyzing large, complex, multi-dimensional data sets
Benefits For Data Science Manager, Product
- Comprehensive Health and Wellness programs
- Retirement and investment resources
- 4 week sabbatical program
- Career and Leadership Training
- Educational benefits
- Company-matched giving
- Flexible work environment
- Employee shares options
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