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Senior Data Analyst Machine Learning Jobs in Virginia

Senior Data Analyst

Mclean, VA · Hybrid

$86K - $109K/yr

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities * Employee ...

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities * Employee ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

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 ...

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Senior Data Engineer Location : Arlington, VA Hybrid (Need local candidates only within 30-40 miles ... Experience leveraging open-source tools, predictive analytics, machine learning, Advanced ...

Senior Data Analyst

VA · On-site

$86K - $109K/yr

Position Overview The client are recruiting for a Senior Data Analyst who will support the critical functions for Open Source Intelligence in the IC. Responsibilities * Develop metrics and analysis ...

Senior Data Analyst

Richmond, VA

$85K - $107K/yr

Senior Data Analyst At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card ...

Senior Data Analyst

Mclean, VA

$86K - $109K/yr

Senior Data Analyst At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card ...

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Senior Data Analyst At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card ...

Senior Data Scientist

Chantilly, VA · On-site

$154K - $278K/yr

Leidos is seeking a Senior Data Scientist to provide technical leadership and advanced analytics ... Design, develop, and deploy advanced analytics, statistical models, and machine learning solutions

Senior Data Scientist

Chantilly, VA · On-site

$154K - $278K/yr

Leidos is seeking a Senior Data Scientist to provide technical leadership and advanced analytics ... Design, develop, and deploy advanced analytics, statistical models, and machine learning solutions

Showing results 21-40

Senior Data Analyst Machine Learning information

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.

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 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.

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 most commonly searched types of Data Analyst Machine Learning jobs in Virginia? The most popular types of Data Analyst Machine Learning jobs in Virginia are:
What job categories do people searching Senior Data Analyst Machine Learning jobs in Virginia look for? The top searched job categories for Senior Data Analyst Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Senior Data Analyst Machine Learning jobs? Cities in Virginia with the most Senior Data Analyst Machine Learning job openings:
Infographic showing various Senior Data Analyst Machine Learning job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Analyst

Guidehouse

Mclean, VA • Hybrid

$86K - $109K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd of 72 rated business consultants


Job description

Job Family:

Data Science & Analysis


Travel Required:

None


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the Cybersecurity and Infrastructure Security Agency (CISA). In this role, you will help drive datainformed decisionmaking by collecting, transforming, integrating, and analyzing data to identify trends, assess performance, and create meaningful visualizations. Senior Data Analyst is responsible for identifying, assessing, protecting, and monitoring the organization's High Value Assets (HVAs)-the systems, data, and services whose compromise would significantly impact mission, operations, or security. This role blends cybersecurity expertise, data analytics, and risk management to ensure HVAs are properly cataloged, continuously monitored, and safeguarded against evolving threats.

  • Collect, integrate, and analyze complex datasets to uncover insights that support mission objectives.

  • Perform quantitative and qualitative risk assessments focused on threats, vulnerabilities, and potential impacts to HVAs.

  • Use analytics tools to build dashboards, key risk indicators (KRIs), and trend analyses that support leadership decisions.

  • Develop intuitive, interactive, and visually compelling dashboards (e.g., in Power BI) for users with a wide range of technical backgrounds.

  • Define data requirements and ensure data is properly stored, accessible, and aligned with client needs.

  • Create and maintain data governance documentation, tools, and templates.

  • Collaborate with nontechnical stakeholders to gather, understand, and refine requirements.

  • Identify and document data quality and fidelity issues; provide recommendations for remediation.

  • Build tools, resources, and reports to support data requests and ongoing analysis needs.

  • Operate effectively in a hybrid work environment, including onsite client work, Guidehouse offices, and remote settings.

What You Will Need:

  • Ability to obtain and maintain a Public Trust (or higher) security clearance.

  • Bachelor's degree.

  • TWELEVE (12) or more years of experience in data analysis, engineering, data visualization, data integration, or database management OR TEN (10) years of experience with a Masters degree.

  • Experience ensuring data accuracy and usability through data quality management and integration using tools such as SQL, Python, or R.

  • Experience creating data visualizations and dashboards with Power BI.


What Would Be Nice To Have:

  • Knowledge of federal or enterprise HVA requirements and cybersecurity frameworks.

  • Ability to interpret complex datasets and communicate insights clearly to technical and non-technical audiences.

  • Understanding of relational database design and structures.

  • Handson experience with data wrangling and analysis in R or Python.

  • Excellent communication and collaboration skills with the ability to work effectively on crossfunctional teams.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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