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Principal Labor Market Data Scientist

Job in Juneau, Juneau Borough, Alaska, 99812, USA
Listing for: UKG
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 150500 - 214500 USD Yearly USD 150500.00 214500.00 YEAR

Job Description & How to Apply Below

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

About the team

Our Go-to-Market Data Science team turns UKG workforce data into insights that help customers and business leaders understand their workforce. We develop benchmarks, conduct applied research, and partner with economists, Communications, Product, and Engineering to connect what happens in the flow of work with broader labor market trends.

About the role

We are seeking a Principal Larbor Market Data Scientist to lead hands-on research and analysis focused on labor and workforce insights. As a senior individual contributor, you will own work from defining the question and investigating the data through validating findings and explaining their significance to business leaders.

This role is dedicated to supporting UKG senior leaders, Corporate Communications, and our labor economists with evidence for executive-to-executive discussions, media interviews, press releases, and thought leadership. Working closely with our economist colleagues, you will combine UKG workforce data with external labor market sources to develop timely insights that inform executive discussions and external communications. You will bring the technical depth to build the analysis and the judgment to determine what the evidence supports.

Responsibilities
  • Partner with labor economists and Communications to define research questions and produce validated analyses, charts, and supporting materials for executive briefings, customer discussions, and media preparation.

  • Lead original research on hiring, separations, hours worked, wages, labor supply, and other workforce trends. Identify questions that matter to employers and workers, and investigate changes across industries, geographies, and workforce segments.

  • Deliver executive briefings, charts, talking points, and supporting analysis for customer discussions and media engagements.

  • Excellent written and verbal communication, with experience translating quantitative findings into concise, accurate materials for leaders, business audiences, or public use.

  • Own the analytical response to urgent executive and media questions. Clarify the question, assess feasibility, and deliver findings with the context and limitations needed to use them accurately.

  • Combine large-scale UKG workforce data with public and commercial labor data. Evaluate source definitions, coverage, reporting lags, and comparability before drawing conclusions.

  • Develop and validate statistical methods for workforce indicators, trends, and comparisons. Address seasonality, changing employer populations, missing data, revisions, and sampling bias; distinguish workforce changes from data artifacts and association from causation.

  • Build reproducible analysis and recurring reporting workflows using SQL and Python. Maintain documented methods, versioned code, and automated checks so results can be reproduced, reviewed, and updated efficiently.

  • Review the numerical accuracy and interpretation of findings, charts, and proposed public claims. Explain uncertainty, challenge unsupported conclusions, and recommend when findings need further analysis before use.

  • Partner with Product, Engineering, and data…

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