Job ID: TX-52929163 (911290723)
Data Scientist/Big data Engineer with analyzing, processing, modeling data, visualizations, SNAP, machine learning and Government experience.
Location: Austin TX (HHSC)
Duration: 12 months
Positions: 1(1/1)
Minimum Requirements:
5 Required Experience in relating and analyzing complex data sets, both structured and unstructured.
5 Required Experience with analyzing, processing, and modeling data, then interpreting the results to discern trends and create actionable plans.
5 Required Experience in creating visualizations and reports that translate data into meaningful business outcomes that enable business leadership to make data-driven organizational decisions.
2 Preferred Experience of working with SNAP or beneficiary data sets.
2 Preferred Experience in government project planning and delivery.
2 Preferred Experience with machine learning and related industry tools.
1 Preferred Bachelor’s Degree in Data Science or related field.
Roles and Responsibilities
1. Accomplish the assigned activities and deliverables within project scope and schedule;
2. Lead focus group sessions or other information gathering sessions as needed, with active participation from subject matter experts and other stakeholders;
3. Work collaboratively with System Agency staff;
4. Escalate barriers and other issues to HHSC OIG as appropriate, immediately escalating concerns that may result in project implementation delays or increased costs;
5. Review, acknowledge in writing, and maintain consistent compliance with HHSC OIG’s applicable computer usage, security, privacy, confidentiality and non-disclosure policies;
6. Develop a proposed project plan that aligns with the timeframes and milestones identified within the grant. Propose adjustments to the plan when needed as the project progresses and impacts to the overall project completion timeframe or key milestones to HHSC early and clearly to mitigate project risk;
7. Review the SNAP beneficiary-related data and resources provided by HHSC, including working with HHSC staff to understand the data and associated relationships as they may pertain to SNAP beneficiary fraud, waste, and abuse;
8. Provide an assessment of the available data and make recommendations for improving the existing data infrastructure to better support SNAP fraud detection and prevention;
9. Recommend any additional data sources, elements, or connections that would improve the model – either currently or in the future;
10.Analyze the available SNAP beneficiary-related data, including combining and comparing data elements and applying relevant data analysis techniques, to determine trends and patterns within the data that may indicate fraud, waste, or abuse;
11.Develop, within the existing HHSC IT framework, a SNAP beneficiary-related data model that mines existing data to explore elements that are believed to be meaningful identifiers of potential fraud vulnerabilities and applying automated data analysis techniques, such as logistics regression or machine learning (tools that employ algorithms to identify and build upon trends and patterns in data sets), to produce meaningful results and visualizations;