Staff Data Scientist, Revenue

About the Role

The Revenue Data Science team is responsible for driving business growth through data-driven insights and recommendations. As a Staff Data Scientist, you will be expected to operate effectively in gray areas, balancing rigor with practicality to deliver insights that leaders can trust and act on. Your technical expertise, combined with strong communication and collaboration skills, will enable you to drive impact and make a meaningful contribution to the company's success.

Mozilla is a non-profit-backed technology company that has shaped the internet for the better over the last 25 years. With a focus on diverse areas including AI, social media, security, and more, the company is committed to making the internet better for people. As a Staff Data Scientist, you will be part of a team that is dedicated to using data science to drive business outcomes and advance the company's mission.

What You Will Do

• Own Mozilla's search revenue forecasting program end-to-end, including model development, scenario analysis, and executive-facing reporting
• Develop and maintain forecasting models in Python, selecting appropriate approaches and validating results to ensure accuracy and reliability
• Translate complex trends, assumptions, and trade-offs into clear narratives for Finance and senior leadership, including live VP-level discussions
• Evaluate the impact of key drivers, uncertainties, and evolving conditions to inform planning and decision-making
• Establish best practices for forecasting, validation, and reporting, and mentor other Data Scientists contributing to revenue-related work
• Collaborate with cross-functional teams to identify opportunities for growth and improvement
• Develop and maintain databases and data systems to support revenue forecasting and analysis
• Create and present reports and insights to senior leadership and other stakeholders
• Stay up-to-date with industry trends and emerging technologies, applying this knowledge to drive innovation and improvement in revenue forecasting and analysis

What We Are Looking For

• 8+ years of experience in data science, analytics, or applied quantitative roles, with demonstrated ownership of complex, business-critical analytical programs
• Strong technical foundation, including advanced Python and SQL, with experience in machine learning and statistical modeling
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders
• Experience working with large datasets and complex data systems, with a strong understanding of data quality and validation
• Ability to operate effectively in a fast-paced, dynamic environment, with a focus on delivering high-quality results and driving business impact
• Strong business acumen, with a deep understanding of the tech industry and the factors that drive revenue growth and profitability
• Experience working with cross-functional teams, including product, engineering, and finance
• Strong problem-solving skills, with the ability to analyze complex problems and develop creative, effective solutions

Nice to Have

• Experience with cloud-based data platforms, such as AWS or GCP
• Familiarity with data visualization tools, such as Tableau or Power BI
• Knowledge of software development principles and practices, including Agile and DevOps
• Experience working in a remote or distributed team environment
• Familiarity with open-source software and communities

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work on complex, business-critical projects that drive real impact and value
• Collaborative, dynamic work environment with a team of experienced data scientists and analytics professionals
• Flexible work arrangements, including remote work options and flexible hours
• Professional development opportunities, including training, mentoring, and conference attendance
• Access to cutting-edge technologies and tools, including machine learning and data science platforms
• Comprehensive health and wellness benefits, including medical, dental, and vision coverage
• Generous paid time off and vacation policy
• Retirement savings plan with company match
• Employee recognition and rewards program
• Opportunities for career growth and advancement within the company

• Be prepared to showcase your technical skills, including Python, SQL, and machine learning, as well as your ability to communicate complex technical concepts to non-technical stakeholders.
• Highlight your experience working with large datasets and complex data systems, as well as your understanding of data quality and validation.
• Emphasize your business acumen and ability to drive business impact through data-driven insights and recommendations.
• Be prepared to discuss your experience working in a fast-paced, dynamic environment, and your ability to operate effectively in gray areas.
• Show a passion for using data science to drive business outcomes and advance the company's mission.
• Be prepared to provide specific examples of your accomplishments and the impact you've driven in previous roles.
• Don't be afraid to ask questions and seek clarification during the interview process.