Senior Data Scientist

June 22

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GoPro

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Wearable digital cameras for sports • Entertainment • Software • Action Camera

501 - 1000

Description

• 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

Requirements

• 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

Benefits

• 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)