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Senior Data Analyst Machine Learning Jobs in Washington

Senior Data Analyst

Arlington, VA

$98K - $124K/yr

... and machine learning can help address them. You understand the US Government and Defense ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

Senior Data Analyst

Arlington, VA ยท On-site

$98K - $124K/yr

... and machine learning can help address them. You understand the US Government and Defense ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

Senior Data Analyst

Rockville, MD

$87K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

ProSidian Seeks a Senior Data Analyst (Contract Contingent) in Rockville, MD to support an engagement for an independent agency of the United States Federal Govt. that supports health services ...

Senior Data Analyst

Arlington, VA ยท On-site

$98K - $124K/yr

... and machine learning can help address them. You understand the US Government and Defense ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

Junior Data Scientist

Arlington, VA ยท On-site

$100K - $120K/yr

Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects. * Assist senior analysts with statistical modeling, machine learning, trend ...

Junior Data Scientist

Arlington, VA ยท On-site

$100K - $120K/yr

Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects. * Assist senior analysts with statistical modeling, machine learning, trend ...

Senior Data Scientist

Chantilly, VA ยท On-site

$130K - $160K/yr

Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and ... The development of frameworks for creating and integrating machine learning models such as ...

Senior Data Analyst Req ID 002-25 v1.0 HazeGrayCyber, LLC is focused on delivering Cyber Security ... AI and Machine Learning/SAS Certified Analytics Professional * IBM Data Science Professional ...

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data ...

Showing results 21-40

Senior Data Analyst Machine Learning information

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 the most commonly searched types of Data Analyst Machine Learning jobs in Washington?

The most popular types of Data Analyst Machine Learning jobs in Washington are:

What are popular job titles related to Senior Data Analyst Machine Learning jobs in Washington?

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

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

The top searched job categories for Senior Data Analyst Machine Learning jobs in Washington are:

What cities in Washington are hiring for Senior Data Analyst Machine Learning jobs?

Cities in Washington with the most Senior Data Analyst Machine Learning job openings:

Infographic showing various Senior Data Analyst Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analyst - Subject Matter Expert (SME)

AGE Solutions

Fort George G Meade, MD โ€ข On-site

$95K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

About Us
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.
AGE Solutions is seeking a highly skilled and analytical Senior Data Analyst - Subject Matter Expert (SME) to support enterprise-level data analytics, reporting, and customer experience initiatives within a complex IT Service Management (ITSM) environment. The ideal candidate will leverage advanced analytical techniques, data visualization, statistical modeling, and customer experience analytics to provide actionable insights that improve operational performance, service delivery, and customer satisfaction.
This role requires a strategic thinker with strong technical expertise, exceptional communication skills, and the ability to collaborate across technical and business teams to drive data-informed decision-making.
Responsibilities Include:
  • Analyze large and complex datasets to identify trends, patterns, anomalies, and opportunities for operational improvement.
  • Develop and maintain dashboards, scorecards, and executive-level reporting using data visualization tools such as Tableau, Power BI, or QlikView.
  • Support IT Service Management (ITSM) initiatives through analysis of incident, problem, change, request, and service performance metrics.
  • Conduct customer experience analytics and customer journey mapping to improve service quality and user satisfaction.
  • Perform trend analysis, forecasting, root cause analysis, and predictive analytics to support strategic decision-making.
  • Design and execute statistical analyses and machine learning models to support operational and business objectives.
  • Develop SQL queries and work with structured and unstructured data from multiple sources and databases.
  • Support data warehousing, ETL processes, and data integration efforts across enterprise systems.
  • Collaborate with cross-functional stakeholders, technical teams, and leadership to translate business requirements into analytical solutions.
  • Present findings, recommendations, and insights to senior leadership and stakeholders in a clear and actionable manner.
  • Ensure compliance with data governance policies, regulatory requirements, and data privacy standards.
  • Identify opportunities to improve analytics methodologies, reporting processes, and data quality practices.
  • Support continuous process improvement initiatives and innovation within the analytics environment.
  • Provide subject matter expertise in analytics best practices, ITSM reporting, and performance measurement.

Required Qualifications:
  • Education:
    • Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, or a related field.
  • Certifications:
    • Certified Analytics Professional (CAP), Microsoft Certified: Data Analyst Associate, or ITIL Foundation Certification
    • Certifications in Customer Experience Management and/or Data Science preferred
  • Security Clearance:
    • DoD Secret or Top Secret
  • Experience, Skills, and Knowledge:
    • 8+ years of experience in data analysis, preferably supporting IT Service Management (ITSM) environments or related domains.
    • Proven experience working with ITSM platforms such as ServiceNow, BMC Remedy, or Cherwell.
    • Experience in customer experience analytics and customer journey mapping.
    • Demonstrated expertise with data visualization and business intelligence tools including Tableau, Power BI, or QlikView.
    • Strong experience with SQL and database management concepts.
    • Proficiency with analytical and statistical tools such as Python, R, or SAS.
    • Strong statistical analysis skills and familiarity with machine learning algorithms and predictive analytics techniques.
    • Advanced Microsoft Excel skills for data analysis, modeling, and reporting.
    • Familiarity with ITIL framework and ITSM best practices.
    • Experience with data warehousing concepts and ETL processes.
    • Strong analytical thinking, troubleshooting, and problem-solving abilities.
    • Ability to interpret complex datasets and translate findings into actionable business insights.
    • Excellent written and verbal communication skills with the ability to present technical information to non-technical audiences.
    • Demonstrated ability to work effectively in cross-functional and collaborative environments.
    • Strong attention to detail and commitment to data accuracy and integrity.
    • Experience briefing senior leadership and preparing executive-level reports and presentations.
    • Demonstrated ability to improve and innovate analytics processes and methodologies.
    • Understanding of regulatory compliance requirements and data privacy laws related to data handling and protection.

Preferred Qualifications:
  • Experience supporting Federal Government or Department of Defense (DoD) environments

Compensation: $120,000+
At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.
  • 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  • Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  • 401(k) with Match: We match 3% of your contributions with immediate vesting.
  • Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  • Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  • Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  • Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  • Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  • Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.

At AGE, you'll do work that matters, supported by a company that delivers for its people.