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Director Data Analyst Machine Learning Jobs in Virginia

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Design and implement data pipelines, analytics models, and machine-learning solutions to support process automation and predictive decision-making. * Collect, clean, and validate structured and ...

... AI/ML Researcher, Data Analyst, ect. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

... AI/ML Researcher, Data Analyst, ect. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

... AI/ML Researcher, Data Analyst, ect. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

In this role, you will work closely with VAI's Technical Director and stakeholders across the ... Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI ...

In this role, you will work closely with VAI's Technical Director and stakeholders across the ... Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI ...

New

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 ...

The Data Scientist will leverage advanced analytics, machine learning, automation, and data fusion techniques to identify operational trends, forecast outcomes, optimize mission performance, and ...

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 ...

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 ...

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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

Data Scientist

RecruitTalent LLC.

Fredericksburg, VA • On-site

$60 - $70/hr

Contractor

Posted 27 days ago


Job description

General Responsibilities:

  • Design and implement data pipelines, analytics models, and machine-learning solutions to support process automation and predictive decision-making.
  • Collect, clean, and validate structured and unstructured data from multiple enterprise systems, ensuring data quality and integrity.
  • Perform statistical analysis, forecasting, and pattern recognition to identify process improvement opportunities.
  • Develop interactive dashboards and visualizations using tools like Power BI or Tableau for real-time performance tracking.
  • Collaborate with Solution Architects and Business Analysts to integrate data insights into workflow automation and digital solutions.
  • Support the creation and enforcement of data governance, metadata, and access-control frameworks in coordination with cybersecurity policies.
  • Evaluate and deploy AI/ML models (e.g., classification, regression, clustering, NLP) within automation and decision-support platforms.
  • Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure, or GCP.
  • Provide technical documentation, data dictionaries, and model explainability reports for audit and compliance purposes.
  • Support training and knowledge transfer, enabling end users to interpret and leverage analytical insights.

Minimum Qualifications:

  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related discipline.
  • Experience:
    • 5–8 years of experience in data analytics, machine learning, or AI model deployment.
    • Proven success designing analytical solutions for IT modernization, automation, or enterprise transformation projects.
    • Experience working with large, complex datasets and applying data-driven methods to improve business or operational performance.

Technical Expertise:

  • Programming & Analysis: Python, R, SQL, Power Query, or PySpark.
  • Machine Learning & AI: scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Visualization: Power BI, Tableau, Matplotlib, or Plotly.
  • Data Engineering: ETL tools, APIs, REST services, and cloud data storage (AWS S3, Azure Data Lake, GCP BigQuery).
  • Statistics & Modeling: Regression, time-series forecasting, clustering, and anomaly detection.
  • Governance & Security: Familiarity with NIST data-handling standards, FedRAMP compliance, and secure data pipelines.

Preferred Certifications:

  • Microsoft Certified: Data Scientist Associate or Azure AI Engineer
  • Google Professional Data Engineer or AWS Certified Data Analytics – Specialty
  • Certified Analytics Professional (CAP) – INFORMS
  • Lean Six Sigma Green Belt (for data-driven process improvement)
  • Power BI Data Analyst Associate