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Senior Data Analyst Machine Learning Jobs in Chesapeake, VA

Ignite Digital is seeking an experienced Senior Data Analyst to lead advanced analytics efforts supporting a US Navy data analytics, cloud management, and IT modernization program. This position ...

Senior Metrics and Data Analyst

Norfolk, VA ยท On-site

$112K - $120K/yr

Demonstrated experience developing and applying machine learning models, predictive analytics, and ... Proficiency in leveraging modern data analytics platforms and languages (e.g., Python, R) to ...

Data Scientist

Hampton, VA ยท On-site

$107K - $195K/yr

Leidos is excited to announce an opportunity for a mission-driven Sr. Data Scientist to support ... Knowledgeable of machine learning toolkits * Excellent problem solving and analytic skills ...

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Senior Data Analyst Machine Learning information

See Chesapeake, VA salary details

$53.4K

$96.4K

$131.6K

How much do senior data analyst machine learning jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior data analyst machine learning in Chesapeake, VA is $96,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $105,400.00 per year, depending on experience, location, and employer.

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

What are popular job titles related to Senior Data Analyst Machine Learning jobs in Chesapeake, VA?

For Senior Data Analyst Machine Learning jobs in Chesapeake, VA, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Machine Learning jobs in Chesapeake, VA look for?

The top searched job categories for Senior Data Analyst Machine Learning jobs in Chesapeake, VA are:

Infographic showing various Senior Data Analyst Machine Learning job openings in Chesapeake, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,372 per year, or $46.3 per hour.

Senior Metric and Data Analyst

Sawdey Solution Services

Norfolk, VA โ€ข On-site, Remote

$83K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Pay Rate: The annual base salary range for this position is TBD. Please note that the salary information is a general guideline only. At Sawdey Solution Services, we recognize that attracting the best talent is key to our strategy and success as a company.

We will consider several factors when extending an offer to an applicant. These factors include (but are not limited to) the position, associated responsibilities, work experience, education, related training, and related skills. Position Location: Naval Station Norfolk, VA (On-Site) Telework/Work-from-Home Authorized: No About the Role:The Senior Metrics and Data Analyst provides advanced analytical, data science, and decision-support services to Commander, Naval Surface Force Atlantic (COMNAVSURFLANT) in support of Force Generation readiness.

This position analyzes complex readiness information across the Personnel, Equipment, Supply, Training, Ordnance, Networks, and Infrastructure (PESTONI) pillars to identify trends, gaps, risks, and opportunities to improve Surface Force readiness. The Senior Metrics and Data Analyst will work with authoritative Navy data sources, develop and apply predictive analytics and machine-learning models, build data visualizations and analytical products, and translate complex data into actionable recommendations for senior Navy leadership. Additional Responsibilities Include, but are not Limited To: Analyze Surface Force readiness data and metrics across the PESTONI pillars to identify trends, systemic gaps, readiness drivers, risks, and opportunities for improvement.

Collect, integrate, validate, manage, and interpret data from authoritative Navy and Department of Defense sources. Develop and maintain databases, analytical datasets, metrics, models, and reporting structures supporting Force Generation analysis. Develop and apply predictive analytics, machine-learning models, and AI-driven analytical techniques to complex defense and readiness problems.

Use statistical analysis and data science methodologies to identify relationships, leading indicators, and factors affecting Surface Force operational readiness. Use analytical tools and programming languages such as Python and R to perform statistical analysis and build operational and financial risk models. Support development of predictive readiness models designed to forecast readiness degradation and improve operational availability.

Develop dashboards, data visualizations, reports, and executive-level analytical products to support Government and Flag-level decision-making. Support development of Analyses of Alternatives, Business Case Analyses, monitoring frameworks, readiness assessments, and other data-driven studies. Evaluate Surface Force business practices, primary and secondary data sources, data gaps, and existing analytical capabilities and recommend improvements.

Develop and recommend new metrics, data models, and leading indicators to improve the Government's ability to monitor and forecast readiness. Translate complex quantitative findings into clear, actionable recommendations for senior leaders and operational stakeholders. Participate in technical exchange meetings, analytical working groups, deep-dive sessions, and senior-level readiness reviews.

Collaborate with Government personnel, operational subject matter experts, and other analysts to ensure analytical products accurately reflect Navy operational requirements. Maintain required training, credentials, and qualifications and comply with Government and company policies and procedures. Perform other duties, as assigned.

Experience Requirements: Experience in the United States Navy as a Post-Command Commander afloat or equivalent. Minimum of five (5) years of experience on an Echelon 3 or higher staff. Minimum of five (5) years of experience in database design and management.

Minimum of five (5) years of experience conducting data analysis for complex projects. Experience analyzing metrics associated with the PESTONI readiness pillars. Ability to develop a comprehensive understanding of Surface Force business practices, primary and secondary data sources, data gaps, and existing analytical capabilities.

Demonstrated experience developing and applying machine-learning models, predictive analytics, and AI-driven data interpretation to complex defense problems. Demonstrated proficiency using modern data analytics platforms and programming languages, such as Python and R, to conduct statistical analysis and develop financial and operational risk models. Experience producing executive-level analytical products, reports, and data visualizations.

Highly proficient with Microsoft Office applications, particularly Access, Excel, and PowerPoint. Education Requirements: Master's degree or higher from an accredited college or university. A degree in an analytics, computer science, data science, or related technical field is highly desired.

Other Required Skills & Abilities: Strong analytical and critical-thinking skills with the ability to interpret complex operational and quantitative information. Ability to clearly communicate analytical findings and recommendations to Government personnel and senior leadership. Ability to develop professional executive-level reports, presentations, visualizations, and briefing materials.

Must be able to effectively communicate with customer and fulfill all duties and responsibilities as listed in the contract. Must be proficient in Microsoft Office suite including, but not limited to: Word, PowerPoint, Excel, and Outlook. Security Clearance Requirements: Secret Clearance US Citizenship Requirements: This position supports a U.S

Government Contract whose terms require Sawdey Solution Services to staff it only with U.S. Citizens. Benefits at Sawdey Solution Services: At Sawdey Solution Services, we offer an extensive benefits package

Our employee-focused benefits for full-time employees include: Vibrant Company Culture: Become an integral part of our positive, encouraging, and uplifting team culture; we are all on this mission together. Healthy Work-Life Balance: We place a strong emphasis on work-life balance; we don't just 'talk the talk' in terms of work-life balance, we 'walk the walk'. We not only support, but highly encourage, prioritizing your health and well-being.

Competitive Compensation Package: Competitive rates with comprehensive medical, dental, and vision benefits for you, your spouse, and your dependents. Health Saving Account (HSA) with employer contributions. Dependent-care Flexible Spending Account (FSA).

Competitive Paid Time Off (PTO) and Federal Holiday Observance. Immediately vested 401 (k) with employer matching. Employee Assistance Program (EAP).

Employee Referral program with compensated referrals. Additional benefits offered. Grow With Us: We offer a paid Training and Tuition reimbursement program to help you advance and excel in your career.

We prioritize internal promotions and success.