Professional - Data Scientist IV

Everforth Apex
Mountain Home, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Mountain Home, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Business Logic
Azure
Big Data
Cloud Engineering
COBOL
Statistical Hypothesis Testing
Information Extraction
Python
Machine Learning
Natural Language Processing
Parsing
TensorFlow
Google Cloud Platform
PyTorch
Delivery Pipeline
Large Language Models
Model Validation
Topic Modeling
Scikit Learn
HuggingFace
Data Analytics
Latent Semantic Analysis
Text Analysis
Spacy
Legacy Systems

Job description

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., * 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.

Requirements

  • 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., * 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.

About the company

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. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

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