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Director Data Analyst Machine Learning Jobs in Hampton, VA

Machine Learning Tutor

Norfolk, VA · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Develop machine learning models, predictive analytics capabilities, and decision-support solutions using structured and unstructured data. * Design and implement Large Language Model (LLM) solutions ...

Develop machine learning models, predictive analytics capabilities, and decision-support solutions using structured and unstructured data. * Design and implement Large Language Model (LLM) solutions ...

... as directed by SACEUR. The Communication Directorate is responsible for the management of ... machine and deep learning and other advanced analytical techniques. Develop and apply advanced or ...

... as directed by SACEUR. The Communication Directorate is responsible for the management of ... machine and deep learning and other advanced analytical techniques. Develop and apply advanced or ...

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Showing results 1-20

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 13, 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?

The top searched job categories for Director Data Analyst Machine Learning jobs in Hampton, VA are:

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:

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Re-posted 24 days ago


Job description

Job Summary

We are seeking a Data Analyst to collect, analyze, and interpret large datasets to support business decision-making. The ideal candidate will have strong analytical skills, experience with data visualization tools, and proficiency in SQL and reporting.

Required Skills

< data-start=528 data-end=549>Technical Skills

  • Strong experience with SQL for data extraction and analysis
  • Experience with Excel (Pivot Tables, VLOOKUP, Power Query)
  • Proficiency in Power BI, Tableau, or similar visualization tools
  • Knowledge of data modeling and database concepts
  • Experience with Python or R for data analysis (preferred)
  • Understanding of ETL processes and data warehousing concepts
  • Ability to create dashboards, reports, and KPIs

< data-start=989 data-end=1010>Responsibilities

  • Gather, analyze, and validate data from multiple sources
  • Develop reports and dashboards to support business stakeholders
  • Identify trends, patterns, and actionable insights
  • Perform data quality checks and data cleansing activities
  • Collaborate with business teams to define reporting requirements
  • Present findings and recommendations to stakeholders
  • Support ad hoc reporting and analytical requests

< data-start=1423 data-end=1442>Qualifications

  • Bachelor''''''''''''''''''''''''''''''''s degree in Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or related field
  • 2–5+ years of Data Analyst experience
  • Strong analytical and problem-solving skills
  • Excellent communication and documentation abilities
  • Experience working in Agile environments is a plus
Preferred Skills
  • Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud
  • Knowledge of machine learning concepts
  • Experience with Snowflake, Databricks, or Big Data technologies