Assistant Data Scientist - People Analytics

Texas A&M Transportation Institute•Bryan, TX
•Hybrid

About The Position

The Assistant Data Scientist in People Analytics supports data-driven decision-making in TTI Human Resources and other operations units. The role develops analytics solutions, dashboards, automated reporting pipelines, workflow automations, and AI-enabled tools; analyzes complex datasets; improves business processes; administers Laserfiche processes and workflows; and supports workforce analytics and operational decision-making. Duties include preparing data, building visualizations, developing automated solutions, and assisting with the design and deployment of predictive models and other AI-driven tools. Continued employment is contingent upon availability of funding and satisfactory performance. The position is based at TTI Headquarters in Bryan, Texas. Employees must report in person for their first 30 days. After that period, a hybrid arrangement may be approved at the agency’s discretion, subject to policy, operational needs, supervisory approval, and business needs. Regular on-site attendance is an essential function of the position because duties involve frequent in-person interaction and collaboration across the Institute.

Requirements

  • Bachelor’s degree.
  • At least 2 years of related experience.
  • Strong analytical and problem-solving skills.
  • Ability to handle complex datasets.
  • Skill in dashboards, KPIs, visualizations, and workflow design.
  • Knowledge of database concepts and data management principles.
  • Ability to translate business requirements into automated and data-driven solutions.
  • Strong verbal and written communication skills, including presenting complex data, metrics, AI tools, and automation solutions to nontechnical audiences.
  • Ability to build and maintain effective working relationships with technical and nontechnical stakeholders.
  • Ability to troubleshoot technical system, workflow, and integration issues.
  • Knowledge of workflow automation and systems integration concepts.
  • Advanced knowledge of Excel.
  • Ability to work independently and collaboratively.
  • Strong organizational skills and attention to detail.
  • Regular on-site attendance and frequent in-person interaction and collaboration with stakeholders across the Institute.
  • Ability to perform common office functions, frequently communicate with others in the workplace, and operate a computer and other office productivity machinery.

Nice To Haves

  • Master’s degree in data science or a similar field.
  • Experience with data visualization tools such as Power BI.
  • Experience administering Laserfiche or another workflow and document management platform.
  • Experience working with APIs and data integrations.
  • Experience supporting AI initiatives, predictive analytics, or operational automation.
  • Experience with Microsoft Power Query and Power Automate.

Responsibilities

  • Develop automated scripts, workflows, and reporting pipelines using recurring data feeds, reports, and system integrations to streamline manual processes, including through tools such as Power Automate.
  • Monitor and troubleshoot data feeds, integrations, and automations.
  • Develop and maintain dynamic reporting tools, spreadsheets, and data solutions for HR operations and decision-making.
  • Identify opportunities to improve business processes through automation and workflow improvements.
  • Serve as TTI HR’s Laserfiche Administrator and primary liaison with the Texas A&M Laserfiche team.
  • Manage Laserfiche access, security groups, permissions, and configuration.
  • Build, test, implement, and maintain Laserfiche forms and workflows; troubleshoot and resolve suspensions.
  • Maintain databases and supporting data sources used by Laserfiche processes and integrations.
  • Provide technical support, training, and guidance to Laserfiche users across the Institute.
  • Collect, clean, and transform structured and unstructured workforce and operational data.
  • Conduct statistical analyses to identify relationships, trends, patterns, and drivers in workforce and operational data.
  • Build recurring and ad-hoc analytical reports using Workday and Business Objects; track HR KPIs and provide summaries and recommendations.
  • Develop forecasting models for staffing and workforce planning.
  • Develop, implement, and support AI-enabled solutions that improve business processes, operational efficiency, and decision-making.
  • Create, deploy, and maintain chatbots using Microsoft Copilot Studio.
  • Evaluate emerging AI technologies and recommend solutions for HR and organizational objectives.
  • Train HR staff in effective and responsible AI use, including prompting, governance considerations, and use cases.
  • Protect confidential data in AI solutions according to TTI and Texas A&M System data security requirements.
  • Partner with IT and other stakeholders to evaluate, implement, and support approved AI solutions.
  • Build and maintain dashboards using Power BI or similar platforms.
  • Design user-friendly visualizations for technical and nontechnical audiences; collaborate with stakeholders on reporting requirements and validate dashboard accuracy.
  • Gather requirements with users and cross-functional teams, translate business needs into data and automation solutions, and support solution development, implementation, maintenance, and improvement.
  • Present findings, dashboards, process designs, AI tools, and recommendations to stakeholders, including nontechnical audiences.
  • Support project documentation, version control, and status reporting.
  • Identify opportunities and contribute ideas for new AI applications and process improvements.

Benefits

  • Choice of health coverage options for employees and their families through The Texas A&M University System.
  • Other benefit programs offered through The Texas A&M University System.
  • Hybrid work environment and telecommuting may be available subject to agency requirements and approval.
  • Flexible work hours.
  • Leadership development and wellness programs.
  • Data allowance and home office equipment reimbursements.
  • Relocation assistance, if eligible.
  • Tuition reimbursement, if eligible.
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