Sr Staff Quantitative User Researcher

## About the Role As a Senior Staff Quantitative User Researcher at Mozilla, you will play a critical role in shaping the company's product strategy by providing data-driven insights that inform decision-making. You will be part of the Firefox User Research team, which champions human-centered exploration of complex problems. Your work will involve close collaboration with cross-functional teams, including product managers, designers, engineers, and marketers, to ensure that user needs are at the forefront of product development. This role is ideal for individuals who are passionate about using data to tell compelling stories and drive business outcomes.

The Firefox User Research team is committed to fostering a culture of innovation and experimentation, where researchers are empowered to explore new methods and approaches to understanding user behavior. As a senior member of the team, you will be expected to lead by example, mentoring junior researchers and contributing to the development of the team's research strategy.

Mozilla's mission to make the internet a better place for everyone is more relevant now than ever. With a range of initiatives aimed at promoting online privacy, security, and digital literacy, the company is poised to make a significant impact on the future of the internet. As a member of the Mozilla team, you will have the opportunity to contribute to these efforts and be part of a community that is passionate about creating positive change.

## What You Will Do - Own strategic quantitative research initiatives from scoping business needs and designing surveys to synthesizing data and communicating actionable recommendations to influence product decisions.

• Utilize a variety of research methods to embed quantitative insights into the end-to-end product development lifecycle, including discovery opportunity sizing, prioritization, concept testing, and tracking and measurement after launch.
• Partner cross-functionally at a strategic level with product, design, engineering, data science, and marketing to develop and own a research roadmap, identify high-impact research opportunities, and align insights to business priorities.
• Analyze and translate complex data sources, including surveys, behavioral data, and market intelligence, to build cohesive, evidence-based perspectives that guide product decisions.
• Champion user-centered decision-making by embedding research into product strategy, advocating for user needs, and influencing leaders across functions.
• Develop and maintain a deep understanding of Mozilla's products, services, and user base, staying up-to-date with the latest trends and developments in the technology and research industries.
• Collaborate with external research partners and vendors to identify and leverage new research methods, tools, and technologies that can enhance Mozilla's research capabilities.
• Communicate complex research findings and recommendations to non-technical stakeholders, including product managers, designers, and executives, to ensure that insights are actionable and informative.
• Contribute to the development of Mozilla's research strategy, including the identification of research priorities, the allocation of resources, and the evaluation of research outcomes.

## What We Are Looking For - A minimum of 5 years of experience in a quantitative user research role, preferably in a technology or software company.

• A graduate degree in a field such as psychology, sociology, computer science, or statistics, or equivalent experience.
• Expertise in quantitative research methods, including survey design, statistical analysis, and data visualization.
• Experience with data analysis tools, such as R, Python, or SQL, and data visualization tools, such as Tableau or Power BI.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and communicate complex research findings to non-technical stakeholders.
• A strong understanding of user-centered design principles and the ability to apply these principles to drive business outcomes.
• Experience with agile development methodologies and the ability to work in a fast-paced, dynamic environment.
• A passion for using data to tell compelling stories and drive business outcomes, with a keen eye for detail and a commitment to excellence.

## Nice to Have - Experience with machine learning or artificial intelligence, and the ability to apply these technologies to drive research insights.

• Knowledge of programming languages, such as JavaScript or Python, and the ability to apply these skills to automate research tasks or build research tools.
• Experience with cloud-based data platforms, such as AWS or Google Cloud, and the ability to apply these technologies to drive research scalability and efficiency.
• A background in social sciences or humanities, with a strong understanding of human behavior and social context.
• Experience working in a remote or distributed team environment, with the ability to work effectively across time zones and geographies.

## Benefits and Perks - Competitive salary and benefits package, including health insurance, retirement savings, and paid time off.

• Opportunities for professional development and growth, including training, mentorship, and education assistance.
• Flexible work arrangements, including remote work options and flexible hours.
• Access to the latest technologies and tools, including cloud-based data platforms and machine learning frameworks.
• A dynamic and supportive work environment, with a strong focus on collaboration, innovation, and teamwork.
• The opportunity to work on high-impact projects that drive real change and improvement in people's lives.

- To stand out in this role, focus on developing a strong portfolio that showcases your quantitative research skills and experience.

• Be prepared to communicate complex research findings and recommendations to non-technical stakeholders, including product managers, designers, and executives.
• Highlight your ability to work effectively in a cross-functional team environment, including experience with agile development methodologies and collaboration tools.
• Emphasize your passion for using data to tell compelling stories and drive business outcomes, with a keen eye for detail and a commitment to excellence.
• Be prepared to discuss your experience with data analysis tools, such as R, Python, or SQL, and data visualization tools, such as Tableau or Power BI.
• Show a willingness to learn and adapt to new technologies and research methods, including machine learning and artificial intelligence.
• Highlight your experience working in a remote or distributed team environment, including the ability to work effectively across time zones and geographies.