[Hiring] Staff Data Scientist @Indeed.com

Role Description

As a Staff Data Scientist on Indeed’s People Science Team, you will apply advanced statistical modeling, research design, and data science methodologies to evaluate talent programs, organizational systems, and employee experiences. You will partner closely with data engineering to produce insights that inform our Talent Enablement, Talent Acquisition, and Total Rewards programs and answer critical questions for leadership.

• Translate data science concepts, build clear data stories around analysis, and summarize research findings for leadership.
• Turn complex people data into actionable recommendations.
• Establish standardized research playbooks and optimize workflows using automation and AI tools.
• Mentor junior researchers and foster collaboration across cross-functional teams.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field with a minimum of 8 years of related experience; or a Master’s degree with a minimum of 6 years of experience; or a PhD with 3 years experience.
• Expertise in A/B testing and experimentation.
• Solid foundation in data science methods and technologies.
• Able to influence technical direction and contribute to long-term planning.
• Able to work effectively with other teams and mentor colleagues.
• Focused on delivering high-quality, impactful solutions that contribute to business goals.
• Excellent written and verbal communication in English, effective with technical and business audiences.

Requirements

• Oversee the design and execution of advanced analyses, experiments, and machine learning models to address complex questions.
• Translate data into actionable insights to 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 other data scientists, promoting knowledge sharing and best practices.
• Contribute to the development of tools, methodologies, and processes that improve the efficiency and impact of the data science team.
• Communicate findings clearly through presentations, visualizations, and documentation for diverse audiences.

Benefits

• Quarterly bonuses.
• Restricted Stock Units (RSUs).
• Paid Time Off policy.
• Region-specific benefits.

Company Description

As the world’s number 1 job site, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.