Data Scientist - Level 4

plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers

• Active TS/SCI clearance with Polygraph
• A Bachelor's degree and 15 years of relevant experience. An associate's degree plus 17 years of relevant experience may be considered for individuals with in-debt experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
• Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.

• Looking for an established AI expert with demonstratable experience designing and implementing sophistiacted AI/ML and data science solutions across various domains within the MPO customer environment
• Candidate must be familiar with design and implemenation of Agentic AI Systems and customized Retrieval Augmented Generation (RAG) capabilitles
• Candidate must possess in dept knowledge and experience in AI Solutions and an ability to assess, evaluate, and implement the correct ML models for specific purposes and optimized performance
• Candidate must have experience generating, evaluating, training and optimizing Machine Learning models (i.e. LLMs) for use in low-memory, low-resourced edge device environments.

• Family Medical, Dental (w/ adult orthodontia) and Vision coverage
• Pet Discount Program
• PTO (Paid Time Off)
• Maternity/ Paternity Leave
• Supplemental Military Leave Pay
• 11 Paid Holidays
• 401(k) plan with 6% Company Contribution
• Generous Professional Development Program
• 100% Employer paid Short- and Long-Term Disability
• 100% Employer paid Life Insurance
• Supplemental Whole Life Insurance
• Lucrative Referral Bonus Program
• Annual Allowance for ANS Swag
• Potential for Paid Overtime
• Flexible Work Schedules