Staff Data Scientist: People Analytics & Impact

Indeed; United States; Remote; USD 150,000 - 250,000; Full time

Benefits offered by this job

401k plan with equity-based incentives

Open paid time off

Paid holidays

Job summary

Indeed is seeking a Staff Data Scientist for the People Science Team in the United States. The role focuses on applying advanced statistical modeling, research design, and data science methods to evaluate talent programs and employee experiences, partnering with data engineering to produce leadership-ready insights.

The position emphasizes ownership, cross-functional collaboration, and the ability to translate findings into actionable recommendations, with mentoring duties for junior researchers

Qualifications

• Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and 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 is required
• Solid foundation in data science methods and technologies
• Excellent written and verbal communication in English, with both technical and business audiences

Responsibilities

• 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 data pipelines and models for large-scale product data, collaborating with engineering and product teams

Skills

A/B testing

Data science methods

Mentoring

Communication

Education

Bachelor’s degree in CS/Math/Stats

Master’s or PhD (with experience)

Job description

Indeed is seeking a Staff Data Scientist for the People Science Team in the United States. The role focuses on applying advanced statistical modeling, research design, and data science methods to evaluate talent programs and employee experiences, partnering with data engineering to produce leadership-ready insights.

The position emphasizes ownership, cross-functional collaboration, and the ability to translate findings into actionable recommendations, with mentoring duties for junior researchers