Data Scientist II

In this remote Data Scientist II role, you will work on Relevance Intelligence at Indeed, a discipline focused on measuring and improving how well the platform matches job seekers to relevant jobs. You will support product impact through end-to-end analysis, including experimentation, causal inference, metric development, and the construction of LLM-as-a-judge systems at scale.

The work is highly experiment-driven and directly connected to ranking, sourcing, bidding, and quality measurement. As a core technical resource, you will help define how success is measured and use data science methods to separate real causal signal from noise.

What you will do

• Lead data-driven initiatives that identify opportunities to improve product performance and business outcomes.
• Design and run advanced analyses, experiments, and machine learning models to answer complex product and business questions.
• Collaborate with product and engineering teams to define metrics, monitor performance, and inform short- and long-term product strategy.
• Mentor and support other data scientists by sharing best practices in methodology, modeling, and analytical thinking.
• Partner across teams to influence decisions with clear insights and visualizations suited to different audiences.
• Help develop tools, techniques, and processes that improve efficiency and increase the impact of the data science team.
• Serve as a recognized technical resource, advising on analytic approaches for high-impact problems.

Day-to-day focus

• Own Relevance Intelligence, the signal that powers ranking, sourcing, bidding, and quality measurement.
• Drive end-to-end analyses: frame the question, define success metrics and guardrails, run experiments, and isolate causal effects from noise.
• Build and apply LLM-as-a-judge systems to measure relevance at scale.
• Work across experimentation, causal inference, and metric development as core parts of the role.

Qualifications

• Education and experience: a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field with at least 5 years of related experience, or a Master’s degree with at least 3 years of experience, or a PhD without experience.
• Strong interest in thought-provoking assignments and continuous learning.
• Required 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.

Compensation & salary transparency

Remote (United States) salary range: USD 125,000 - 259,000 per year.

• Tier 1 (United States of America): $125,000 - $187,000 USD/year
• Tier 2 (United States of America): $138,000 - $208,000 USD/year
• Tier 3 (United States of America): $152,000 - $228,000 USD/year
• Tier 4 (United States of America): N/A
• Tier 5 (United States of America): $173,000 - $259,000 USD/year

Benefits

• Medical, dental, vision, disability and life insurance
• 401k plan enrollment
• Equity-based incentive program (RSUs)
• Open paid time off
• 11 paid holidays a year
• Up to 26 weeks of paid parental leave

Reference ID: 47506