Hanover, MD

Data Jobs in Hanover, MD

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Today

Data Scientist 3-FFPP-8955

Onyx Point, Inc. Hanover, MD

Hanover, MD

Today

$78k - $250k/yr Full time Python Advanced Analytics Analytics

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Job Description

Onsite role in Hanover, MD focused on developing and operationalizing machine learning and analytics across mission automation.

Responsibilities

Develop machine learning, data mining, statistical, and graph-based algorithms to analyze and make sense of datasets
Prototype and compare multiple algorithms, selecting final models using appropriate performance metrics
Build models or design experiments to generate training or example data when datasets are unavailable
Develop descriptive, predictive, and prescriptive analytics using statistical, machine learning, and heuristic techniques
Develop statistical tests to support data-driven recommendations and decisions
Develop experiments to collect data or simulate data/models when required data is not available
Create feature vectors for machine learning algorithm inputs and support analytic development and testing
Select the most appropriate algorithm for a given dataset and tune input and model parameters
Evaluate and validate analytics performance using standard techniques and metrics such as cross validation, ROC curves, and confusion matrices
Oversee multiple analytic efforts, guiding the team through analytic development and performance monitoring
Direct analytic development toward solutions that can scale to large datasets
Implement prototype algorithms within production frameworks to integrate into analyst workflows
Partner with subject matter experts to:
- Translate manual data analysis into automated analytics
- Identify important information in raw data and develop scripts to extract it from multiple formats (e.g., SQL tables, structured metadata, network logs)
- Incorporate SME input into feature vectors
Translate qualitative customer/SME analysis processes and goals into quantitative formulations coded into software prototypes
Produce reports and visualizations summarizing datasets and delivering data-driven insights to customers
Develop data visualizations that explain dataset structure and meaning
Collaborate with software engineers and cloud developers to develop production analytics
Understand emerging machine learning and pattern recognition approaches and guide integration of state-of-the-art algorithms
Guide the transition of prototyped analytics into production systems
Lead data scientist team efforts across multiple analytic efforts and support delegation of analysis responsibilities
Work with customers and SMEs to define analytic requirements and help translate them into solutions

Requirements

Active TS/SCI with Full Scope Polygraph clearance (U.S. citizenship required)
Bachelor’s degree or higher in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science)
Minimum 10 years experience in two (2) or more of: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB
An additional four (4) years of experience in software development, cloud development, dataset analysis, or developing descriptive, predictive, and prescriptive analytics can substitute for a bachelor’s degree
A Master’s degree in a quantitative discipline can substitute for two (2) years of experience, for a total of eight (8) years required
A Doctoral degree in a quantitative discipline can substitute for four (4) years of experience, for a total of six (6) years required

Technologies

R, Python, SAS, MATLAB, SQL
ROC curves, confusion matrices, cross validation

Benefits

Medical, dental, and vision insurance
Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance
401(k) plan with company match
Generous PTO, paid holidays, parental leave, and more
Access to wellness programs and mental health support
Opportunities for growth, including tuition reimbursement
Flexible work arrangements, including remote work options
Flexible Spending Accounts (FSAs)
Employee referral programs
Bonus opportunities
Technology allowance
Diverse, inclusive, and supportive workplace culture

Compensation

Salary range: USD 78,000 - 250,000 per year
Exact salary determined by work location, role, skill set, and level of expertise

Location: Hanover, MD (onsite)

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1mo ago

AI Engineer

Systek, Inc. Hanover, MD

Hanover, MD

1mo ago Closed

Full time Agentic Ai Ai Agent Ai Engineer

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Systek, Inc. is seeking an AI Engineer - AI/ML SME to deliver SETA support to government teams in Hanover, MD. The role focuses on technical review, evaluation, and guidance for AI-enabled applications and tools.

Location

Hanover, MD (onsite)

Role Summary

Provide subject matter expertise to support the development or assessment of AI-enabled applications and tools for mission use cases. Support includes architecture and risk review, evaluation of AI solution patterns, and technical recommendations for engineering teams and government stakeholders.

Responsibilities

Assist with reviewing architectures, development approaches, model usage patterns, and technical risk areas.
Monitor rapid changes in the AI ecosystem and provide recommendations on emerging tools and practices.
Evaluate solutions that involve LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, and prompt pipelines.
Advise on AI engineering considerations including latency, reliability, observability, testability, guardrails, and data flow.
Assess and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission contexts.
Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation.
Contribute to the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders.
Collaborate with platform engineers, product leads, mission users, and government leadership to keep AI efforts technically grounded and operationally relevant.

Required Qualifications

Bachelor’s Degree in engineering or computer science.
Minimum of 10 years of experience in systems engineering supporting DoD programs.
5 years of AI experience in a commercial setting may be substituted.

Technologies

LLMs
Retrieval-augmented generation
Agentic workflows
Orchestration layers
Prompt pipelines

Preferred Qualifications

Degree in computer science, information systems, software engineering, or computer programming.
Relevant certifications in cloud, systems engineering, cybersecurity, or platform operations.

Security Clearance

Active DoD Top Secret/SCI clearance required.

Travel

Some travel may be required.

Benefits

Health insurance
Dental insurance
Life insurance
Disability insurance
401k plan
Paid time off
Service anniversary awards
Tuition reimbursement

Job Code

1175

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Data Jobs in Hanover, MD

Data Scientist 3-FFPP-8955

AI Engineer

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