Data Scientist - Human Capital Analytics

HRB; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

HRB in New York City, NY, is seeking a Data Scientist for its Human Capital Analytics and Products team. The role focuses on applying statistical methods to internal studies that inform leadership decisions about people, with responsibilities for analyses, reporting, and storytelling with data.

You will work on analytics tied to recruiting, development, management, and retention, leveraging Python or R, Excel, and SQL to drive insights and strategic impact.

Qualifications

• Bachelor’s degree or higher and at least three years of relevant work experience analyzing data in a business setting.
• Proficiency managing and analyzing data using scripting languages such as Python or R. Advanced knowledge of Excel, and intermediate SQL skills are preferred.

Responsibilities

• Use inferential statistics and social science research methods to conduct internal studies for business leaders, enabling them to make data-informed decisions about their people.
• Run analyses with people data, write reports that weave insights together into a compelling narrative, and develop visualizations for an executive audience.
• Work on a range of people analytics projects related to recruiting and talent assessment, development, management, and retention.

Skills

Python

R

Excel

SQL

Statistics

Data visualization

Education

Bachelor's degree or higher

Tools

SQL

Job description

Data Scientist - Human Capital Analytics

• New York City, NY

We are looking for a people analytics professional to join its Human Capital Analytics and Products (HCAP) team as a research associate. Members of HCAP are curators of employee data and leverage it to help answer strategic and operational talent questions for leaders across the business. This role offers the opportunity to be part of a collegial, collaborative, and engaging working environment.

What you’ll do day-to-day

• Use inferential statistics and social science research methods to conduct internal studies for business leaders, enabling them to make data-informed decisions about their people.
• Run analyses with people data, write reports that weave insights together into a compelling narrative, and develop visualizations for an executive audience.
• Work on a range of people analytics projects related to recruiting and talent assessment, development, management, and retention.

Who we’re looking for

• A bachelor’s degree or higher and at least three years of relevant work experience analyzing data in a business setting are required.
• Proficiency managing and analyzing data using scripting languages such as Python or R. Advanced, knowledge of Excel, and intermediate SQL skills are preferred.
• A demonstrated foundation in statistics is required, with a preference for experience in social science research methods.
• A willingness to dive into details, collaborate effectively, and drive projects to completion is crucial, as is the ability to exercise discretion with confidential information.
• Interest in generative AI and a desire to use it to improve and reimagine tools, workflows, and deliverables.
• People analytics experience is preferred but not required.