Senior Accountant - Retail

Location: 100% Remote

Duration: 12+ Months

Interview mode: Web Cam

• Bachelor's, Master's, or Ph.D. in computer science, mathematics, engineering, physics, or related field.
• Have participated in U.S. Federal Gov't data science programs requiring TS/SCI clearance, delivering solutions requiring the combination of geospatial disciplines and pattern of life, and social network connections.
• Data engineering expertise, with demonstrable experience custom building programs processing in excess of 700 million records in less than :30min, on a highly frequent, recurrent basis.
• Proven expertise working with CCWIS data attributes to predict child welfare outcomes, including but not limited to data attribute selection, data clean up and statistical tuning.
• Extensive knowledge of statistical algorithms, machine learning, and adaptive systems.
• Prior history of designing and building machine learning algorithms from the ground up.
• Experience with making technical trade-offs between algorithmic approaches based on collective errors, computational time, scalability, and outcomes.
• Prior success in developing optimal non-rule-based decision-making systems where the inputs are stochastic.
• Successful history of converting social processes and human decision-making into computational models that yield improved results.

Create a Development Framework

• Establish a framework for the execution of technical tasks within the proof‑of‑concept.
• The framework will consist of task breakouts, milestones, and deliverables.
• Identify critical milestones related to information, receipt of data, testing, and delivery.
• Identify key risk factors and means of mitigation.

Current Processes & Technology

• Participate in critical discussions involving current intake workflows, how decisions are made based on information from the intake process, and the allocation of state labor.
• Contribute to the identification of intake process shortcomings and prioritize based on their impact on children and state resources.

Devise New Intake Approach Using New Technologies

• Lead the development of a new intake process that leverages natural language processing and other machine learning algorithms.
• Identify the functional blocks and reconcile their contributions to solving the prioritized shortcomings.
• Evaluate architectural and computational implementation trade‑offs for each functional block, considering technical, schedule, and security risks.
• Evaluate trade‑offs of using different data sources, including existing systems, sample data, simulated data, or other alternatives.
• Document the final approach for transparency.

Design Review(s)

• Create the framework for the design review process.
• Lead the design review and evaluate the functional design with respect to resolving prioritized intake process shortcomings and the impact on children and state resources.
• Assess technical, schedule, data security, and other risk factors.
• Evaluate source of data and its usefulness in demonstrating the efficacy of the approach.
• Propose methods of testing and demonstration.
• Document the process for transparency.

Implementation of Proof‑of‑Concept

• Oversee the implementation of the prototype by conducting weekly status updates and, when appropriate, gate reviews.
• Provide guidance when needed to mitigate risk and remove technical or administrative roadblocks.

Conference Room Demonstration

• During the course of 3‑4 days, provide conference‑room support to demonstrate how the prototype application can improve child outcomes and reduce state resources.
• Capture key stakeholder comments regarding technical aspects of the application.

Roadmap

• Contribute to the development of a roadmap that illustrates how the developed technology could be integrated into the state’s ecosystem of technologies and processes.

Agile Development Process

• Contribute to the Agile development process to ensure the success of the project.