• Deliver and implement advanced secondary analyses of EMR and claims data to support observational epidemiological studies • Design and execute analyses for real-world observational studies with no intervention • Provide expert input and recommendations on study design, data partner selection, and Real-World Data (RWD) best practices • Collaborate with internal and external teams to evaluate the strengths and limitations of RWD sources for respiratory research • Independently design and build analytical solutions for complex healthcare datasets • Develop, validate, and document analytical methods and models using SQL (required), R, and Python • Apply advanced statistical methods (e.g., regression models, Cox regression, Kaplan-Meier survival analysis) to generate robust insights • Contribute to study reports, publications, and presentations through high-quality statistical analyses and visualizations

• Design NLP pipelines for document classification • Extract dynamic entities without relying on closed ontologies • Model relationships and rules (if-then rules, exceptions, cross-references) • Combine statistical ML with LLMs • Validate results using statistical and semantic metrics.

Role Description The Mississippi Department of Child Protective Services seeks a senior data scientist to support a proof-of-concept demonstration using natural language processing and other machine learning methods to improve the intake process. This work is critical to demonstrate the potential of the latest technology to improve the lives of children at risk. The Senior Data Scientist will be responsible for overseeing and supporting the development, implementation, and testing of statistical models, integration of NLP, and refinement and testing of the prototype. - Evaluate algorithmic trade-offs and provide guidance to ensure the State’s objectives are satisfied. - Work closely with State stakeholders and technical team members to ensure the quality of results and that derived methods are transparent, statistically sound, relevant, and documented. Key Responsibilities - Create a Development Framework - Establish a framework for the execution of technical tasks within the proof-of-concept. - 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 and decision-making processes. - 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 leveraging natural language processing and other machine learning algorithms. - Identify functional blocks and reconcile their contributions to solving prioritized shortcomings. - Evaluate architectural and computational implementation trade-offs for each functional block. - 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. - Technical, schedule, data security, and other risk factors. - Source of data and its usefulness in demonstrating the efficacy of the approach. - Proposed methods of test and demonstration. - Documentation of 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 - 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 illustrating 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. Qualifications - Bachelor’s, Master’s, or Ph.D. in computer science, mathematics, engineering, physics, or related field. - Participation in US Federal Gov’t data science programs requiring TS/SCI clearance. - Data engineering expertise with experience custom building programs processing in excess of 700 million records in less than 30 minutes. - Proven expertise working with CCWIS data attributes to predict child welfare outcomes. - Extensive knowledge of statistical algorithms, machine learning, and adaptive systems. - Prior history of designing and building machine learning algorithms from the ground up. - Experience making technical trade-offs between algorithmic approaches. - Prior success in developing optimal non-rule-based decision-making systems. - Successful history of converting social processes and human decision-making into computational models.

• Full-Cycle Ownership: Manage the entire sales process from initial technical discovery and "talking shop" with Data Science leads to final contract execution • Technical Discovery: Conduct deep-dive discovery calls to understand the customer’s specific data challenges (e.g., patient registries, clinical trial optimization, or de-identification) • Strategic Territory Planning: Build and execute a plan for your assigned territory to exceed quarterly and annual booking targets for subscriptions and services • Stakeholder Management: Orchestrate relationships across the organization, ensuring the technical "champions" stay engaged while the "economic buyers" see the ROI • CRM Discipline: Maintain meticulous records and accurate forecasts within our CRM to ensure transparency across our distributed team