Job description

Indeed is the world's largest marketplace for jobs, with a unique dataset spanning jobs, resumes, applications, and outcomes. As a Senior Data Scientist on the Utility team in Marketplace Efficiency, you will extend Indeed's marketplace optimization across the core and partner sites. You will partner with senior scientists to bring ranking and utility optimization to Indeed's core sites as well as our international and partner sites across Japan marketplace, Glassdoor, and new surfaces such as Career Scout. You will own initiatives that find opportunities to improve ranking and marketplace outcomes on these surfaces. You will design experiments, analyses, and models that tune the shared ranking utility for each surface. You will define the metrics and guardrails that show when a change helps jobseekers and employers. You will also build reusable tools and methods so that optimization work transfers across surfaces with less effort. You will work with product, engineering, and science teams across Indeed, Glassdoor, and our Japan organizations to inform surface roadmaps. Your work will turn one optimization approach into results on many surfaces. • Oversee data-driven initiatives that uncover opportunities to improve product performance and business outcomes. • Design and execute advanced analyses, experiments, and machine learning models to address complex product and business questions. • Partner with product and engineering teams to define metrics, track performance, and inform both short- and long-term product strategies. • Mentor and guide other data scientists, fostering best practices in methodology, modeling, and analytical thinking. • Collaborate across teams to influence decisions with clear, compelling insights and visualizations tailored to diverse audiences. • Contribute to the development of tools, techniques, and processes that enhance the efficiency and impact of the data science team. • Serve as a recognized technical resource in the organization, helping solve high-impact problems and advising on analytic approaches. • Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience • Loves thought-provoking assignments and is eager to learn. • Expertise in A/B testing and experimentation is required • 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. • Experience with ranking, recommendation, or matching systems, including offline and online evaluation • Experience with optimization methods, such as constrained or multi-objective optimization, applied to ranking or marketplace problems 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. (*Comscore, Total Visits, March 2026) The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site ( indeed.com ), and recruiters can confirm how location is considered for a specific role. Tier 1 - United States of America 125,000 - 187,000 USD per year Tier 2 - United States of America 138,000 - 208,000 USD per year Tier 3 - United States of America 152,000 - 228,000 USD per year Tier 4 - United States of America N/A Tier 5 - United States of America 173,000 - 259,000 USD per year Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit indeed.com . If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page ( indeed.com ). Inclusion & Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at indeed.com , we also want to make you aware of our recruitment specific privacy policy found at indeed.com . Agency Disclaimer Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. AI Notice Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making. Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws. Reference ID: 47867 This position accepts applications on an ongoing basis, and there is no deadline to apply. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Requirements

Must-haves

You will work with product, engineering, and science teams across Indeed, Glassdoor, and our Japan organizations to inform surface roadmaps. Your work will turn one optimization approach into results on many surfaces.
Oversee data-driven initiatives that uncover opportunities to improve product performance and business outcomes.
Design and execute advanced analyses, experiments, and machine learning models to address complex product and business questions.
Partner with product and engineering teams to define metrics, track performance, and inform both short- and long-term product strategies.
Mentor and guide other data scientists, fostering best practices in methodology, modeling, and analytical thinking.
Collaborate across teams to influence decisions with clear, compelling insights and visualizations tailored to diverse audiences.
Contribute to the development of tools, techniques, and processes that enhance the efficiency and impact of the data science team.
Serve as a recognized technical resource in the organization, helping solve high-impact problems and advising on analytic approaches.
Loves thought-provoking assignments and is eager to learn.
Expertise in A/B testing and experimentation is required
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.
Experience with ranking, recommendation, or matching systems, including offline and online evaluation
Experience with optimization methods, such as constrained or multi-objective optimization, applied to ranking or marketplace problems
(*Comscore, Total Visits, March 2026)
Tier 1 - United States of America 125,000 - 187,000 USD per year
Tier 2 - United States of America 138,000 - 208,000 USD per year
Tier 3 - United States of America 152,000 - 228,000 USD per year
Tier 4 - United States of America N/A
Tier 5 - United States of America 173,000 - 259,000 USD per year
For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page ( https://www.indeed.com/careers ).
Inclusion & Belonging
Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningai

Platform: icims
Effort: medium

Benefits

Benefits detected in the listing.

Vision

Paid Time Off