Job#: 3039261 Job Description: Professional - Data Scientist IV
Location: Home, Arkansas (Remote)
Role Overview
This organization is seeking a Lead Data Scientist to join a team of qualified, diverse professionals supporting large-scale modernization efforts. The ideal candidate will serve as a technical leader in applying advanced data science, natural language processing, and statistical methodologies to extract, classify, and validate business rules embedded within legacy claims processing systems. This role is critical in enabling transformation initiatives by ensuring the accurate translation of logic into modern, vendor-neutral rule frameworks.
Key Responsibilities
- Applying advanced data science and machine learning techniques to analyze, classify, and interpret business rules extracted from legacy claims processing systems.
- Designing, developing, and validating NLP models for automated parsing of COBOL, ALC, and related legacy code structures.
- Performing latent semantic analysis, topic modeling, and other text analytics methods on historic documentation to derive, cluster, and verify business logic.
- Leading the statistical validation of extracted rules to ensure accuracy, reproducibility, and alignment with known business processes.
- Supporting the development of a vendor-neutral rules repository by defining data models, ensuring data quality, and advising on scalable ingestion workflows.
- Collaborating closely with software engineers, legacy system SMEs, enterprise architects, and modernization teams.
- Providing technical leadership on data science best practices, model governance, reproducibility, and deployment pipelines.
- Evaluating new AI/ML technologies and proposing approaches that improve throughput, accuracy, and automation.
- Communicating analytical findings and model behavior to technical and non-technical stakeholders.
Required Qualifications
Education & Experience:- Minimum of 8 years of experience with a BS/BA degree; or 6 years with an MS/MA; or 3 years with a PhD.
- Demonstrated experience leading large-scale data science, NLP, or machine learning projects in enterprise or federal environments.
- Experience analyzing or modernizing legacy systems (COBOL, ALC, mainframe environments) using data-driven or automated approaches.
- Knowledge of agile development methodologies and experience contributing within multidisciplinary teams.
- U.S. Citizenship is required.
Technical Skills:- Hands-on expertise with NLP techniques including parsing, embeddings, semantic similarity, classification, and information extraction.
- Proficiency with Python and common data science/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, spaCy, Hugging Face).
- A strong statistical background including hypothesis testing, model validation, and performance evaluation methods.
- Proven ability to translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders.
Preferred Qualifications
- Experience supporting modernization efforts within federal healthcare programs.
- Familiarity with claims processing rules or policy structures.
- Experience building or contributing to knowledge bases or rule repositories.
- Expertise in modernizing legacy systems or supporting migration from mainframe codebases to cloud-native architectures.
- Experience applying AI/ML to large government datasets or regulated healthcare environments.
- Certifications in data science, AI/ML engineering, or cloud platforms (AWS, Azure, Google Cloud Platform).
- Prior experience leading data science teams or mentoring junior data scientists on federal programs.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
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