Senior Data Scientist (Remote USA) - Join GoPro's Analytics and Data Science Team

Location: Remote USA

This role can be performed anywhere in the United States.

The Role

GoPro’s Analytics and Data Science team is a collaborative group of data scientists, engineers, and analysts who work on innovative projects. We tackle complex challenges and identify impactful solutions across the business to support marketing and product strategies.

We are seeking a Senior Data Scientist to support product and marketing stakeholders. You will be responsible for developing analytical data assets and addressing data science requirements. Collaborate closely with marketing and product stakeholders to produce data-informed insights by building dashboards, developing models, conducting statistical analyses, and deriving insights.

What You Will Do

• Partner with product and marketing stakeholders on analytic and data science initiatives (e.g., experimentation, causal inference, and predictive modeling) aimed at understanding customer behavior.
• Conduct thorough data analyses on key questions (e.g., customer engagement, conversion, retention, and churn) to extract actionable insights.
• Build analytical ETLs to model customer behavior.
• Translate and scope stakeholder business questions into analytical projects.
• Develop prototypes for data analysis and machine learning projects and transition them to automated, production-ready workflows for handoff to the data engineering team.
• Collaborate with peers to project manage team initiatives, ensuring timely and successful completion of data analyses, data science, machine learning, and experimentation tasks.

Skills We’re Excited About

• Proficiency with SQL and Python.
• 5+ years of data science experience.
• Ability to partner with stakeholders.
• Strong applied analytics and problem-solving skills in the fields of product and/or marketing analytics.
• Skilled at working with large datasets, building ETLs, and designing data models.
• Experience with applying end-to-end model development cycles.
• Proficiency with experimentation methods for A/B and multivariate testing.
• Excellent written, communication, and presentation skills.
• BS/BA in Statistics, Mathematics, Data Science, Computer Science, Economics, or a related field.

Bonus Points For

• Experience creating and maintaining live dashboards.
• Enjoys creating content and/or editing media.
• Fluency with GitHub or CI/CD for version control.
• Master's degree in Data Science, Statistics, or a related field.

Why Work With Us?

Create your own destiny. GoPro enables and trusts you to get your job done autonomously, bringing out the best in our employees.

Live your best life. We’ve adopted remote and flexible work arrangements to support work-life balance alongside our commitment to employee wellbeing, belonging, and connection.

Work with leading-edge technologies. We encourage employees to use the latest technology, providing the best solutions to serve our customers. We celebrate innovative solutions that bring innovation to GoPro technology.

GoPro Highlights

• Get your very own GoPro camera + gear.
• Medical, dental, and vision insurance – premiums are 100% paid for employees, 90% paid for dependents.
• Life insurance and disability benefits.
• Generous time off policy.
• 12 weeks paid parental leave for new parents.
• Pre-tax and Roth 401(k) options.
• Discounted employee stock purchase plan (ESPP).
• LiveHealthy monthly wellness reimbursement.
• Innovative remote-friendly wellness classes and events.
• Flexible work arrangements.
• Professional + personal development opportunities such as LinkedIn Learning, technology training, certifications, Peer-to-Peer learning, conferences, and more.
• Opportunities to get involved in the causes you care about (annual camera donation + volunteer events).

We strive for the day that no group can be described as underrepresented at GoPro – whether as part of our brand or in our workforce. We are committed to providing a