Senior Data Scientist

Location: Remote USA. This role can be performed anywhere from 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 work together to 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. You will be partnering closely with marketing and product stakeholders to produce data informed insights by building dashboards, developing models, and 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, etc.) aimed to understand customer behavior
• Conduct thorough data analyses on key questions (e.g. customer engagement, conversion, retention, and churn, etc.) 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, 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 working with large datasets, building ETLs, and designing data models.
• Experience with applying end-to-end model development cycles.
• Leverage 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 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 related field

Why Work With Us?

Create your own destiny. GoPro enables you and trusts you to get your own job done, because we believe that autonomy in role brings out the best in our employees.

Live your best life. We’ve adopted remote and flexible work arrangements to support work at GoPro alongside our commitment to supporting employee wellbeing, belonging and connection with one another.

Work with leading edge technologies. We encourage employees to cultivate and use the latest and greatest technology, to provide the best solutions to serve our customers. We celebrate creative 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, i.e. LinkedIn Learning, technology trainings, certifications, Peer-to-Peer learning, conferences and more
• Opportunities to get involved in the causes that you care about (annual camera donation + volunteer events)

We are committed to creating a more equal, inclusive and just world. GoPro is proud to be an Equal Opportunity Employer.

The pay range for this role is between $119,000 - $170,000. Actual pay within the range is dependent on multiple factors, including your residence location and prior work experience. Equity, benefits, and a discretionary bonus may be additional forms of compensation for this role and are not included in the provided pay range.