Data Scientist III

Our Mission

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 2025)

As a Staff Data Scientist, you will be a team lead on the Marketplace Efficiency - Job Reach team. Your team will be responsible for maintaining and improving a healthy marketplace for job advertisers. You will own one of the team’s major work streams, help drive technical direction for the team, and guide other members of the team to achieve product/technical goals.

On a daily basis, you will explore data and formulate problem statements, develop and deploy predictive models while monitoring them in production, execute high-quality experiments, and guide the team on the same. Additionally, you will partner with cross‑functional teams, evangelize your team's work, and stay updated with the latest advancements in the field.

• Partner with cross‑functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience.
• Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while partnering with other teams.
• Define and clarify project priorities, deliverables, and success criteria in partnership with cross‑functional teams.
• Act as a bridge between technical and non‑technical collaborators, facilitating effective communication and comprehension of project goals and outcomes.
• Mentor and grow other software engineers, data scientists, and Machine Learning Engineers across teams.
• Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team through implementing them.
• Represent Indeed at major Machine Learning conferences, such as Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the International Conference on Learning Representations (ICLR).

• Bachelor's degree in Computer Science, Mathematics, Statistics
• 5+ years of industry experience as an AI Engineer, Data Scientist, or Machine Learning Engineer
• Prior success in deploying impactful Machine Learning solutions to large‑scale production systems, while partnering across teams
• Solid knowledge of data structures and algorithms
• Sense of ownership and accountability as a key contributor in the technical and product domains
• Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)
• Excellent written and verbal communication in English, effective with technical and business audiences

• Austin, Metro Area 164, USD per year
• New York City, Metro Area 179, USD per year
• Seattle, Metro Area 183, USD per year
• San Francisco, Metro Area. 191, USD per year
• US Remote 164, USD per year

The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. 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.

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity‑based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave.

For more information, select your country and learn more about our employee benefits, program, & perks at  !