Senior Data Scientist, End-to-End Product Analytics

BAM Ventures; Tennessee; Híbrido; USD 130.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Paid time off

Financial security resources

Descripción de la vacante

PayPal is seeking a seasoned Data Scientist to design and implement advanced data science models supporting diverse business needs. You will collaborate with stakeholders to gather requirements, deliver robust solutions, and promote best practices in data science.

Responsibilities include mentoring junior scientists, ensuring data quality, and driving impactful analytics across product and GTM teams within a balanced hybrid work environment.

Formación

• 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
• Bachelor’s degree with at least 8 years of professional experience, or a master’s degree with at least six years of experience.
• Strong data science and analytical skills with the ability to structure and execute complex analyses and build business cases.

Responsabilidades

• Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
• Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
• Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
• Collaborate with cross-functional teams to understand data needs and provide actionable insights.
• Ensure data quality and integrity through regular audits and validation processes.
• Mentor and guide junior data scientists, fostering continuous learning.

Conocimientos

Data science

SQL

Python

Excel

Statistics

A/B testing

Product analytics

Casual inference

Educación

Bachelor's degree

Master's degree

PhD

Herramientas

Power BI

Descripción del empleo

PayPal is seeking a seasoned Data Scientist to design and implement advanced data science models supporting diverse business needs. You will collaborate with stakeholders to gather requirements, deliver robust solutions, and promote best practices in data science.

Responsibilities include mentoring junior scientists, ensuring data quality, and driving impactful analytics across product and GTM teams within a balanced hybrid work environment.