Data Science Manager, Product

$96,900 - $234,300/Yr

PayPal India Private Limited - San Jose, CA

Full-time - Mid Level

Hybrid - San Jose, CA

About the position

The Data Science Manager, Product at PayPal will lead the P2P Analytics team, focusing on data-driven decision-making to shape the strategy of consumer products. This role involves end-to-end ownership of key initiatives, designing experiments, and providing insights from P2P data to enhance the consumer experience and product performance.

Responsibilities

• Lead the P2P Analytics team and take ownership of key initiatives and projects.
• Design and implement experimentation or A/B testing at scale to support new product launches.
• Create visually appealing and easy-to-navigate data presentations for end-users.
• Identify key metrics and develop executive-facing dashboards to track business progress.
• Establish cause and effect relationships and communicate findings to stakeholders for data-driven decision-making.
• Collaborate with Risk, Product, Marketing, and other teams to analyze performance trends and root causes.
• Build strong relationships with stakeholders to anticipate and address executive inquiries.
• Guide a team of Data Scientists in conducting deep dive analyses on business trends and packaging insights into presentations.

Requirements

• 7+ years of professional experience in an analytical role.
• Knowledge and experience in experimentation (Hypothesis Testing or A/B Testing).
• Familiarity with Causal Inference Techniques and their applications.
• Experience analyzing large, complex, multi-dimensional data sets.
• Advanced SQL experience, preferably with Big Query analytics (Google Cloud).
• Proficiency with database, spreadsheet, and statistical tools.
• Experience in the consumer product space is highly preferred.
• Ability to synthesize findings into coherent insights.
• Experience with tools such as Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, BigQuery is desirable.
• Strong analytical problem-solving skills and ability to create actionable recommendations.
• Advanced reporting skills using Tableau and/or Excel.
• Strong written and verbal communication skills.
• Bachelor's/Master's degree in a quantitative field or equivalent experience.

Nice-to-haves

• Experience in the payments, ecommerce, or financial services industry.

Benefits

• Flexible work environment
• Employee stock options
• Health insurance
• Life insurance
• Dental insurance
• Vision insurance
• Annual performance bonus
• Equity compensation
• Medical benefits