Data Science Manager, Worldwide Installments Science & Engineering

Amazon - Seattle, WA

Full-time - Manager

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Science Manager for Worldwide Installments Science & Engineering at Amazon is responsible for leading a team that leverages machine learning and advanced econometrics to innovate and enhance financial solutions. This role focuses on shaping the future of global finance through data-driven insights and technology, ensuring that the team is at the forefront of the FinTech revolution.

Responsibilities

• Lead and manage a team of data scientists and engineers to develop innovative financial solutions.
• Utilize machine learning and econometric techniques to analyze financial data and drive decision-making.
• Collaborate with cross-functional teams to implement data-driven strategies that enhance customer experience and operational efficiency.
• Oversee the development and deployment of predictive models and algorithms to optimize financial products.
• Mentor and guide team members in their professional development and project execution.

Requirements

• Proven experience in data science, machine learning, or a related field, with a strong background in econometrics.
• Demonstrated leadership skills with experience managing teams and projects.
• Expertise in programming languages such as Python or R, and proficiency in data manipulation and analysis tools.
• Strong analytical and problem-solving skills, with the ability to communicate complex concepts to non-technical stakeholders.

Nice-to-haves

• Experience in the financial technology sector or with payment systems.
• Familiarity with cloud computing platforms, particularly AWS.
• Knowledge of regulatory requirements in the financial industry.

Benefits

• Comprehensive health insurance plans including medical, dental, and vision coverage.
• 401(k) retirement savings plan with company matching contributions.
• Paid time off and holidays, including parental leave.
• Employee discounts on Amazon products and services.