Jr. Data Scientist

The Oklahoma Workforce Commission seeks a highly analytical and mission-driven Data Scientist to join our team. The successful candidate will be a key player in a high-impact, statewide initiative to build a predictive workforce intelligence system. This individual will be responsible for acquiring, analyzing, and visualizing complex datasets to identify early-warning signs of economic disruptions and layoffs. This work will directly inform state policy, support at-risk industries, and power a public-facing dashboard. This is a unique opportunity to use data science to make a tangible impact on Oklahoma’s workforce and economy., * Acquire, clean, and analyze predictive business activity data from various private and public data sources.

• Develop and implement statistical models to identify and predict at-risk companies, sectors, and regions.

• Design and build data visualizations that provide real-time, actionable insights for policymakers, employers, and the public.

• Ensure data is presented in a transparent, accessible, and easily understandable format.

• Conduct evaluation and feasibility studies to identify statewide workforce gaps, emerging industry needs, and strategies for supporting at-risk populations.

• Communicate complex data findings clearly to non-technical stakeholders, including agency leadership, legislators, and the public.

• Facilitate and coordinate meetings with multiple stakeholders to discuss findings, gather insights, and push forward agency initiatives. Document discussions and action items effectively, ensuring clear follow-up and communication.

• Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, Public Policy, or a related quantitative field.
• 2+ years of professional experience in data analysis, statistical modeling, and data visualization.
• Strong proficiency in SQL for data extraction and manipulation.
• Advanced skills in a programming language (e.g., Python, JavaScript), including proficiency with core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Demonstrated experience building and maintaining dashboards using BI tools (e.g., Tableau, Power BI, or similar).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong written and verbal communication skills, with the ability to facilitate meetings and communicate effectively with a diverse range of stakeholders, driving collaborative efforts and ensuring alignment on agency initiatives.
• Ability to work independently and collaboratively in a dynamic, mission-driven environment.Experience in project management or program administration related to workforce initiatives or similar fields. *

Preferred Qualifications -

• Master’s degree in a relevant quantitative field.
• Experience working with economic, labor market (LMI), or workforce data.Experience with predictive analytics, machine learning, and time-series forecasting.