GoFundMe.org is hiring a
Senior Data Scientist, Remote - Worldwide

Summary

GoFundMe is hiring a Senior Data Scientist to bolster their product analytics efforts. The role involves leading data analysis projects, collaborating with product leadership, driving A/B testing, and contributing to ELT processes among other responsibilities. Required qualifications include 5+ years of experience in building data analytics and science projects, advanced skills in SQL, Python or R, statistical and machine learning methods, data visualization, and BI tools. Preferred qualifications include knowledge of event tracking, database architecture, Machine Learning, a Master's degree in a quantitative field, and expertise in formulating and driving multivariate and A/B testing.

Requirements

• 5+. years of experience building data analytics and science projects
• Advanced ability to perform data segmentation and manipulation directly using SQL and Python or R
• Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
• Expertise in formulating and driving multivariate and A/B testing
• Advanced experience using Python or R to perform statistical analysis, predictive analytics, and/or machine learning
• Deep experience with SQL for writing scalable data transformations
• Data visualization skills and experience with BI tools (Tableau/Looker)
• Able to organize, prioritize and assist with business requests with adequate scoping and stakeholder expectation setting
• Strong presentation skills, being able to author and present insights to the leadership team, and influence decision makers

Responsibilities

• Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations for the business
• Collaborate with product leadership to develop and monitor KPIs and present emerging trends and actionable insights
• Drive A/B testing through the entire experimentation life cycle, including inception, creation, measurement, and recommendations
• Use advanced analytics and data science methods to perform Product Analytics and generate actionable insights for GoFundMe business
• Identify and disseminate best practices across team in terms of tools, systems, and processes
• Partner cross-functionally to identify new analytical opportunities with stakeholders
• Collaborate with data and engineering teams to design scalable and future-proof instrumentation
• Contribute to ELT processes as needed
• Develop easy to use dashboards and other analytical self-service tools and perform ad hoc analyses

Preferred Qualifications

• Knowledge of event tracking, database architecture, Machine Learning is a plus
• Master's degree in a quantitative field (Mathematics, Physics, Economics, Engineering or related areas) is preferred

Benefits

• Market competitive pay
• Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee-only plans and 85% for employee + dependent plans) and employer HSA contributions
• 401(k) retirement plan with company matching
• Hybrid workplace with fully remote flexibility for many roles
• Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses
• A variety of mental and wellness programs to support employees
• Generous paid parental leave and family planning stipend
• Company provided life and disability coverages
• Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
• Learning & development and recognition programs
• Gives Back' Program where employees can nominate a fundraiser every week for a donation from the company
• Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization