Senior Data Scientist / MLOps Engineer (Data Scientist Level 3 – DS3)

Wyetech is seeking an experienced Senior Data Scientist / MLOps Engineer (DS3) to support the MT&E team. The ideal candidate will possess a strong background in Data Science, Machine Learning Operations (MLOps), and advanced analytics, with demonstrated experience developing, optimizing, and transitioning machine learning solutions into production environments.

This position focuses on developing scalable analytical capabilities, automating data-driven workflows, and integrating machine learning models into operational systems to support mission-critical objectives.

Required Skills/Experience:

• Significant professional experience in Data Science, Machine Learning, and MLOps.

• Experience designing, developing, training, evaluating, and deploying machine learning models and advanced analytical algorithms.

• Experience implementing statistical analysis, data mining, artificial intelligence, and predictive analytics.

• Proficiency with data analysis and scientific programming tools such as Python, R, SAS, or MATLAB.

• Experience developing feature engineering processes, data preprocessing workflows, and analytical pipelines.

• Experience evaluating and optimizing model performance using cross-validation, ROC curves, confusion matrices, and other standard metrics.

• Experience integrating machine learning models and analytical prototypes into production environments.

• Understanding of scalable data processing, software engineering principles, and cloud-based analytical solutions.

• Ability to collaborate with software engineers, cloud developers, customers, and subject matter experts to translate mission requirements into operational analytics.

• Experience leading analytical development efforts, providing technical guidance, and supporting multiple concurrent initiatives.

Responsibilities and Capabilities:

• Develop machine learning, statistical, data mining, and graph-based algorithms to identify patterns and generate actionable insights from complex datasets.

• Collaborate with subject matter experts to extract relevant information from structured and unstructured data sources, including SQL databases, metadata, and network logs.

• Develop feature vectors, optimize model parameters, and select appropriate analytical techniques based on dataset characteristics and performance requirements.

• Translate qualitative customer requirements into quantitative analytical models, algorithms, and software prototypes.

• Design and execute statistical tests, experiments, and simulations to support data-driven decisions when training or example datasets are limited.

• Produce data visualizations and analytical reports that communicate findings and support operational decision-making.

• Develop and train machine learning systems that enable mission automation and improve analytical efficiency.

• Lead and oversee multiple analytical development efforts, providing technical direction, assigning responsibilities, and monitoring performance.

• Collaborate with software engineering and cloud development teams to transition prototype analytics into scalable production systems.

• Evaluate emerging machine learning and pattern recognition technologies and guide their integration into mission solutions.

Qualifications:

Candidates must meet one (1) of the following education and experience combinations:

• Bachelor's degree in a quantitative discipline plus ten (10) years of relevant experience.

• Master's degree in a quantitative discipline plus eight (8) years of relevant experience.

• Doctoral degree in a quantitative discipline plus six (6) years of relevant experience.

• An additional four (4) years of qualifying experience may be substituted for a bachelor's degree, for a total of fourteen (14) years of relevant experience without a degree.

Qualifying degrees must be from an accredited college or university in a quantitative discipline, such as Statistics, Mathematics, Operations Research, Engineering, or Computer Science.

Relevant experience must include at least two (2) of the following areas:

• Designing or implementing machine learning algorithms.

• Data mining and advanced analytical algorithm development.

• Advanced statistical analysis.

• Artificial Intelligence (AI) development.

• Software engineering using data analysis tools such as R, Python, SAS, or MATLAB.

Experience supporting production machine learning systems, MLOps practices, scalable analytics, and technical leadership is highly relevant to this position.

Security Clearance and Additional Requirements:

• Required Clearance: Active TS/SCI with Full Scope Polygraph.

• Polygraph Currency: Must have an in-scope polygraph within the past seven (7) years.

• Citizenship: United States Citizenship required.

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.

Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.

Additional benefits include:

Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:

• A Choice of Medical Plan Options, some with Health Savings Account (HSA)

• Vision and Dental

• Life and AD&D Benefits

• Short and Long-Term Disability

• Hospital Indemnity, Accident, and Critical Illness Insurances

• Optional Identity Theft and Legal Protection Services

• Employee Referral Bonus Eligibility up to $10,000

• Mobility Among Wyetech-supported Contracts

• Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS

• Various team-building events throughout the year, such as monthly lunches, summer company picnic, and an annual holiday party.

• Employees receive two complimentary branded clothing orders annually.

Hourly Pay Range: $108.71–$147.21

Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications; and geographic location. Hourly pay rates reflect the pre-benefit gross wage amounts.

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Affirmative Action Statement:

Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.

Accommodations:

Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates.

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