Data Science/ Big Data Engineer@TX

12 Jul 2024

Vacancy expired!

Position: Data Science/ Big Data Engineer Duration: 1years Location: Austin, TX CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 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. Data Scientist 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 department 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 department 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 department early and clearly to mitigate project risk; 7. Review the SNAP beneficiary-related data and resources provided by department, including working with 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 department 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: a. The recommended software must be approved by department IT and must conform to department security standards applicable to the data sets for which it will be used; b. The recommended software must be available for purchase under Texas procurement laws and department policies; c. The recommended software must not require department IT resources for customization; d. The recommended software must either be available as a stand-alone one-time purchase or a license (not Software as a Service); e. The recommended software may include ongoing licensure or maintenance costs, but any costs for licensure or maintenance must be clearly defined and within a range that could be absorbed by department after grant funding has ceased; f. The Data Scientist will need to be proficient in use of the software recommended by the Data Scientist, and department must either be proficient in use of the software or able to quickly grow into proficiency; and g. The Data Scientist shall provide any training necessary to bring department System staff into proficiency. 13.Work with department staff, as necessary, to develop a sustainable data model to extract and store beneficiary-related SNAP data within the existing, secure department IT framework that can be routinely fed into the data analytics model to produce consistent results; 14.Respond to department questions within two (2) business days of receiving an inquiry; 15.Remain available to meet with the department (mainly virtually) as needed to support deliverable timeframes and project schedule objectives; 16.Attend and actively participate in periodic, standing meetings with department to discuss progress and solution challenges or barriers; 17.Communicate challenges early to facilitate coordinated solutions; 18.Make iterations of the model available to department 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 department network infrastructure and equipment when accessing and working with department 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.

  • ID: #44015813
  • State: Texas Austin 78753 Austin USA
  • City: Austin
  • Salary: USD TBD TBD
  • Job type: Contract
  • Showed: 2022-07-12
  • Deadline: 2022-09-06
  • Category: Et cetera