Staff Data Scientist

Indeed•Remote,

3d•$150,000 - $250,000

About The Position

As a Staff Data Scientist on Indeed’s People Science Team, this role applies advanced statistical modeling, research design, and data science methods to evaluate talent programs, organizational systems, and employee experiences. The position partners closely with data engineering to produce insights that inform Talent Enablement, Talent Acquisition, and Total Rewards programs and answer leadership’s critical questions. It requires the ability to explain data science concepts, build clear narratives around analyses, and summarize research findings for leadership. The role turns complex people data into actionable recommendations, establishes standardized research playbooks, and optimizes workflows using automation and AI tools. It also mentors junior researchers and fosters collaboration across cross-functional teams to strengthen technical rigor and strategic decision-making. The broader responsibilities described include designing advanced analyses, experiments, and machine learning models; developing and maintaining scalable data pipelines and models; collaborating with engineering and product teams to integrate solutions into product workflows; and communicating findings to diverse audiences. The position requires a bachelor’s degree and at least 8 years of related experience, a master’s degree and at least 6 years, or a PhD and 3 years. Expertise in A/B testing and experimentation is required. The role is not open to candidates based in California, Seattle, the New York City Metro area, or the Washington, DC Metro area. The application deadline is November 6, 2026.

Requirements

Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field and at least 8 years of related experience; or a master’s degree and at least 6 years of experience; or a PhD and 3 years of experience.
Expertise in A/B testing and experimentation.
Solid foundation in data science methods and technologies.
Ability to influence technical direction and contribute to long-term planning.
Ability to work effectively with other teams and mentor colleagues.
Focus on delivering high-quality, impactful solutions that contribute to business goals.
Excellent written and verbal communication in English, effective with technical and business audiences.
Ability to translate data science concepts, build clear data stories around analyses, and summarize research findings for leadership.

Responsibilities

Apply advanced statistical modeling, research design, and data science methodologies to evaluate talent programs, organizational systems, and employee experiences.
Partner with data engineering to produce insights for Talent Enablement, Talent Acquisition, and Total Rewards programs and answer leadership questions.
Translate complex people data into actionable recommendations and communicate analysis and research findings clearly to leadership.
Establish standardized research playbooks and optimize workflows using automation and AI tools.
Oversee the design and execution of advanced analyses, experiments, and machine learning models to address complex questions.
Translate data into actionable insights that guide product and business decisions.
Develop and maintain scalable, robust data pipelines and models for large-scale product data.
Collaborate with engineering and product teams to integrate data science solutions into product workflows.
Mentor and support junior researchers and other data scientists, promoting knowledge sharing and best practices.
Contribute to tools, methodologies, and processes that improve the efficiency and impact of the data science team.
Communicate findings through presentations, visualizations, and documentation for diverse audiences.
Foster cross-functional collaboration to elevate technical rigor and strategic decision-making.