Data Scientist Skill Level 3

Wyetech•Annapolis Junction, MD

23h•$109 - $147

About The Position

Wyetech is seeking an experienced Senior Data Scientist / MLOps Engineer (Data Scientist Level 3 – DS3) to support the MT&E team. The role develops scalable analytical capabilities, automates data-driven workflows, and integrates machine learning models into operational systems for mission-critical objectives. It combines data science, machine learning operations (MLOps), and advanced analytics, including developing, optimizing, and transitioning machine learning solutions into production environments. The position also provides technical leadership across concurrent analytical development efforts and collaborates with software engineering, cloud development, customers, and subject matter experts to translate mission requirements into operational analytics. Candidates must be U.S. citizens and hold an active TS/SCI with Full Scope Polygraph; the polygraph must be in-scope within the past seven years. Wyetech describes its culture as award-winning and focused on solving real-world problems for federal government customers. The hourly pay range is $108.71–$147.21; actual compensation depends on factors including government contract rates, education, experience, skills, certifications, and location. The listed rate is a pre-benefit gross wage and is not a compensation guarantee.

Requirements

Significant professional experience in data science, machine learning, and MLOps.
Meet one of the following education and experience combinations: a bachelor's degree in a quantitative discipline plus 10 years of relevant experience; a master's degree in a quantitative discipline plus 8 years; a doctoral degree in a quantitative discipline plus 6 years; or 14 years of relevant experience without a degree, with four additional years of qualifying experience substituted for a bachelor's 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 of the following: designing or implementing machine learning algorithms; data mining and advanced analytical algorithm development; advanced statistical analysis; artificial intelligence development; or software engineering using data analysis tools such as R, Python, SAS, or MATLAB.
Experience designing, developing, training, evaluating, and deploying machine learning models and advanced analytical algorithms.
Proficiency with data analysis and scientific programming tools such as Python, R, SAS, or MATLAB.
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.
Active TS/SCI clearance with Full Scope Polygraph, with an in-scope polygraph within the past seven years.
U.S. citizenship required.

Nice To Haves

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

Responsibilities

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 sources, including SQL databases, metadata, and network logs.
Develop feature vectors, optimize model parameters, and select 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 to 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 by 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.
Design, develop, train, evaluate, and deploy machine learning models and advanced analytical algorithms.
Implement statistical analysis, data mining, artificial intelligence, and predictive analytics.
Develop feature engineering processes, data preprocessing workflows, and analytical pipelines.
Evaluate and optimize model performance using cross-validation, ROC curves, confusion matrices, and other standard metrics.
Integrate machine learning models and analytical prototypes into production environments.

Benefits

The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no employee matching requirement; contributions are fully vested from day one.
PTO plan of up to 200 hours annually, aligned with applicable state leave regulations; employees may adjust their PTO allocation at the start of each calendar year.
Voluntary medical plan options, some with a Health Savings Account (HSA), for full-time employees.
Vision and dental benefits.
Life and AD&D benefits.
Short- and long-term disability benefits.
Hospital indemnity, accident, and critical illness insurance.
Optional identity theft and legal protection services.
Employee referral bonus eligibility up to $10,000.
Mobility among Wyetech-supported contracts.
Team-building events during the year, including monthly lunches, a summer company picnic, and an annual holiday party.
Two complimentary branded clothing orders annually.