Deadline: 7/26/2021 @ 5pm CST
Texas Health and Human Services Commission requires the services of 1 Data Scientist (Big Data Engineer) 2, hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Texas Health and Human Services Commission.
Pursuant to a grant received from the United States Department of Agriculture’s Food and Nutrition Services department (USDA-FNS), HHSC’s Office of Inspector General (OIG) is seeking to further develop and expand the role of Data Analytics in the identification and investigation of fraud, waste, and abuse in the Supplemental Nutrition Assistance Program (SNAP). The HHS Systems Agency (hereafter referred to as “the System Agency” or HHSC) is seeking the services of a Data Scientist Level 2 to provide business intelligence services with expertise in the field of Data Science/Data Analytics to review and assess the available beneficiary data and develop a sustainable data analytics model to progress the maturity and effectiveness of Data Analytics for detection and prevention of fraud, waste and abuse in the SNAP Program.
The Data Scientist Level 2, in close coordination with System Agency staff, will be responsible for building a Data Analytics Model (hereafter referred to as “the Model”) for this OIG project.
This will be done in accordance with the guidelines outlined in the SNAP Fraud Framework Implementation Grant/Cooperative Agreement, USDA-FNS-FY20-SNAPFFG-TX-01, as awarded to Texas HHSC by the USDA’s Food and Nutrition Services (FNS) programs, as well as HHS Systems standards, guidelines, policies and procedures. A portion of the total grant is reserved for HHSC Access and Eligibility Services and is excluded from this solicitation. The redacted grant package is included for reference (Grant-13159304 - Attachment A).
System Agency will provide guidance to the selected Data Scientist Level 2 in developing the Data Analytics Model, including granting access to the data, providing subject matter expertise, coordinating with applicable stakeholders, and providing guidance related to project planning. System Agency will oversee the process and review required documentation submitted in accordance with established guidelines and timeframes.
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;
12.Recommend, if necessary, core or emerging data analytics software to support development and sustainability of the model:
13.Work with HHSC staff, as necessary, to develop a sustainable data model to extract and store beneficiary-related SNAP data within the existing, secure HHSC IT framework that can be routinely fed into the data analytics model to produce consistent results;
14.Respond to HHSC questions within two (2) business days of receiving an inquiry;
15.Remain available to meet with the HHSC (mainly virtually) as needed to support deliverable timeframes and project schedule objectives;
16.Attend and actively participate in periodic, standing meetings with HHSC to discuss progress and solution challenges or barriers;
17.Communicate challenges early to facilitate coordinated solutions;
18.Make iterations of the model available to HHSC staff in an agreed-upon, accessible format, in alignment with project timeframes, for testing and validation;
19.Provide the output from the model in an agreed-upon format for easy consumption;
20.Monitor and refine the data model to produce a sustainable SNAP beneficiary fraud detection solution that can be used by both eligibility and investigative staff to identify and prevent SNAP fraud;
21.Adjust the model based on feedback received, so that it produces viable and accurate results, as expected; and
22.Use HHSC network infrastructure and equipment when accessing and working with HHSC data and following applicable Acceptable Use Agreement and network security policies and procedures to protect the security of any data transmitted to or exchanged with the Data Scientist Level 2 throughout the term of the contract.
Experience in relating and analyzing complex data sets, both structured and unstructured.
Experience with analyzing, processing, and modeling data, then interpreting the results to discern trends and create actionable plans.
Experience in creating visualizations and reports that translate data into meaningful business outcomes that enable business leadership to make data-driven organizational decisions.
Experience of working with SNAP or beneficiary data sets.
Experience in government project planning and delivery.
Experience with machine learning and related industry tools.
Bachelor’s Degree in Data Science or related field.