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Director Data Analyst Machine Learning Jobs in Virginia

This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making. The ...

Machine Learning Engineer

Mclean, VA ยท On-site

$105K - $115K/yr

Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact ...

The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights. What will you do?

The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights. What will you do?

The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights. What will you do?

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights. What will you do?

GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data ... direct support of Machine Learning model development. The ideal candidate will enhance workflows ...

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Showing results 41-60

Director Data Analyst Machine Learning information

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 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 are popular job titles related to Director Data Analyst Machine Learning jobs in Virginia? For Director Data Analyst Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Virginia look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Director Data Analyst Machine Learning jobs? Cities in Virginia with the most Director Data Analyst Machine Learning job openings:
Infographic showing various Director Data Analyst Machine Learning job openings in Virginia as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Scientist

KDA Consulting Inc

Herndon, VA โ€ข On-site

Full-time

Posted 19 days ago


Job description

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making.

The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization, along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders.

Machine Learning & AI Development

  • Design, develop, and deploy machine learning models to solve complex mission problems
  • Build predictive and prescriptive analytics solutions to support operational and strategic decision-making
  • Evaluate model performance and continuously improve algorithms through testing and tuning

Data Analysis & Exploration

  • Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies
  • Perform data cleansing, feature engineering, and transformation to prepare data for modeling
  • Apply statistical techniques to validate hypotheses and support analytical findings

Data Visualization & Communication

  • Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries
  • Communicate insights and recommendations clearly to both technical teams and senior leadership
  • Translate complex analytical results into actionable business or mission outcomes

Model Deployment & Integration

  • Collaborate with data engineers and software developers to operationalize models into production environments
  • Integrate machine learning solutions into enterprise systems and workflows
  • Support cloud-based model deployment in environments such as AWS or Azure

Collaboration & Agile Delivery

  • Work closely with cross-functional teams including engineers, analysts, and mission stakeholders
  • Participate in Agile processes including sprint planning, stand-ups, and retrospectives
  • Contribute to continuous improvement of data science methodologies and processes

Requirements

Active TS/SCI W/ Polygraph Required.

Bachelorโ€™s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)

Strong experience in data science, machine learning, and statistical analysis

Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience analyzing and working with large-scale datasets

Strong understanding of statistical modeling, probability, and data analysis techniques

Experience with data visualization tools and communicating insights effectively

Strong problem-solving skills and ability to work in complex, mission-driven environments