Sr. Manager, Data Science

Key Skills

Data science techniques, Effective communication skills, Planning and organization, Python Programming, R Programming, SQL

Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

The Global Analytics and Data Science team is seeking for a Senior Manager of BT (Braintree) and SMA (Strategic Merchant Analytics) Analytics to join us as exceptional problem solver with a passion for data insights and a relentless execution focus.

• The ideal candidate will identify key business levers, establish cause & effect, and communicate key findings to various stakeholders to facilitate data driven decision-making.
• This person will help generate insights by mining PayPal’s rich data. In the process, this person will develop a deep understanding of the Payments businesses, our site functionality, further strengthen their analytic, leadership, and presentation skills, and gain exposure to a wide variety of functional teams within PayPal.
• This person will cross pollinate ideas and leverage best practices from the industry.
• The candidate should have experience in managing analytics teams.

We are looking for a passionate & dynamic Senior Manager of BT and SMA Analytics who should be able to challenge the status quo, and drive data backed decision making.

About You:

• You believe in data-driven decisions and use data to answer business questions
• You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation)
• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
• You are energized, fun-loving and an adventurous team player

The Role:

• Partner closely with Product Managers to understand new product offerings being built and recommend the right metrics to measure the performance of those features
• Identify key metrics, conduct rigorous explorative data analysis, create executive facing dashboards and build business cases that drive decision making and business prioritization
• Analyze merchant product performance and health, triage issues, and provide recommendation on the best course solution and optimization.
• Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
• Guide and mentor group of team members on day-to-day delivery
• Define and cultivate best practices in analytics instrumentation and experimentation
• Support multiple projects at the same time in a fast-paced, results-oriented environment
• Provide strategic and tactical guidance on specific data elements that need to be tracked to enable tracking of metrics and assess user behavior
• Collaborate with data platform teams to build/enhance necessary data platforms to provide metrics & business insights and build alerts to monitor those metrics.

Requirements:

• At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
• At least 3 years of experience in managing analytics teams
• Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
• Experience in Advanced Analytics: Causal Inference and ML models.
• Fluent in SQL and Python
• Experience analyzing very large, complex, multi-dimensional data set
• Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
• Domain expertise in payments or other financial services
• Exceptional communication skills, both written and verbal, to influence cross-functional teams
• Prior work experience in a product analytics space would be highly valued
• A passion for problem-solving and comfort with ambiguity

Subsidiary:

PayPal

Travel Percent:

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is

$107300 to $259600

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.