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Director Data Analyst Machine Learning Jobs in Hampton, VA

Guidehouse

Data Scientist

Norfolk, VA · On-site

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will ... Statistical modeling and machine learning * Ability to translate complex analytical outputs into ...

Varsity Tutors

Data Science Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Norfolk, VA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Analygence

CAF Data Analyst

Hampton, VA · On-site

The CAF Data Analyst will provide advisory, analytical, and administrative support to the A3 and A3 Deputy Directors in their execution of the CAF Developmental Team (DT) process. In this role, your ...

Analygence

CAF Data Analyst

Hampton, VA

The CAF Data Analyst will provide advisory, analytical, and administrative support to the A3 and A3 Deputy Directors in their execution of the CAF Developmental Team (DT) process. In this role, your ...

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Showing results 21-40

All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Hampton, VA

Director Data Analyst Machine Learning information

See Hampton, VA salary details

$32.9K

$79.9K

$131.4K

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

As of Aug 22, 2026, the average yearly pay for director data analyst machine learning in Hampton, VA is $79,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

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

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

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

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

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

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What cities near Hampton, VA are hiring for Director Data Analyst Machine Learning jobs?

Cities near Hampton, VA with the most Director Data Analyst Machine Learning job openings:

Director Data Analyst Machine Learning jobs near you

Data Scientist

Guidehouse

Norfolk, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 27 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants

Job description

Job Family:
Data Science Consulting
Travel Required:
Up to 10%
Clearance Required:
Active Secret
What You Will Do:
  • Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives

  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets

  • Design and deploy predictive and prescriptive models to enable data-driven decision-making

  • Apply advanced analytics to Navy-specific domains such as logistics, maintenance, and operational readiness

  • Collaborate with data engineers, developers, and stakeholders to operationalize models within production environments

  • Translate business questions into analytical approaches and clearly communicate findings to technical and non-technical audiences

  • Build and maintain reusable analytical frameworks, code libraries, and model pipelines

  • Apply machine learning techniques to solve classification, regression, clustering, and optimization problems

  • Develop dashboards and visualizations, including Qlik applications, to communicate insights and model outputs effectively

  • Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability

  • Document methodologies, assumptions, and results to support transparency and reproducibility

What You Will Need:
  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
  • Bachelor's degree
  • THREE (3) or more years of experience in data science, advanced analytics, or applied statistical modeling roles
  • Experience in Python, R, and SQL for data analysis, modeling, and data manipulation
  • Experience applying machine learning techniques and statistical methods to real-world datasets
  • Experience working with large, complex datasets across logistics, maintenance, supply chain, or readiness domains
  • Experience developing data visualizations and dashboards using Qlik or similar tools
  • Experience working within cloud or big data environments such as Databricks or similar platforms
  • Experience working in Agile or iterative development environments
  • Experience supporting government or defense clients (Navy experience preferred)
  • Ability to work onsite in a client environment as required

What Would Be Nice To Have:
  • Familiarity with deploying models or integrating analytics into operational workflows
  • Strong foundation in statistics, mathematics, or quantitative analysis (e.g., regression, hypothesis testing, time series analysis)
  • Statistical modeling and machine learning
  • Ability to translate complex analytical outputs into actionable recommendations for stakeholders
  • Experience working alongside or within data platforms (e.g., Palantir Foundry or similar environments) is a plus
  • Data analysis and interpretation
  • Python, R, SQL programming
  • Data visualization (Qlik, Tableau, Power BI, etc.)
  • Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.)

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
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

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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