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Trainee Exploratory Data Analysis Jobs in Reston, VA

Responsibilities : • Develop, train, validate, and deploy machine learning and statistical models to address program analytical challenges. • Perform exploratory data analysis (EDA) to identify ...

Data Engineer

Falls Church, VA · On-site

$150 - $175/hr

Objective 3: Perform Exploratory Data Analysis and Communicate Insights * Conduct exploratory data analysis (EDA) to identify trends, gaps, and opportunities within structured and unstructured ...

Data Analyst

Washington, DC · On-site

$110 - $130/hr

Designing data modeling processes, creating algorithms and predictive models, and performing ad hoc/exploratory data analysis to support data-driven decision making, including use of advanced ...

Responsibilities : • Support collection, cleaning, and preparation of structured and semi‑structured data • Assist with exploratory data analysis and basic statistical assessments • Develop ...

Data Scientist

Bethesda, MD · On-site

$120 - $180/hr

Perform exploratory data analysis, feature engineering, and model optimization to ensure high-quality, repeatable, and interpretable results. * Design and deliver advanced dashboards and ...

You will perform data extraction, exploratory data analytics, and present your findings in dashboards and reports. You will focus on developing hypotheses and employ a diverse toolkit of rigorous ...

You will perform data extraction, exploratory data analytics, and present your findings in dashboards and reports. You will focus on developing hypotheses and employ a diverse toolkit of rigorous ...

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Support collection, cleaning, and preparation of structured and semi-structured data * Assist with exploratory data analysis and basic statistical assessments * Develop simple dashboards ...

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

Support exploratory data analysis, feature development, image-data preparation, annotation, training-set construction, model evaluation, and model-improvement activities. * Assess model performance ...

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

Support exploratory data analysis, feature development, image-data preparation, annotation, training-set construction, model evaluation, and model-improvement activities.Assess model performance ...

Support exploratory data analysis, feature development, image-data preparation, annotation, training-set construction, model evaluation, and model-improvement activities. * Assess model performance ...

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Support collection, cleaning, and preparation of structured and semistructured data * Assist with exploratory data analysis and basic statistical assessments * Develop simple dashboards ...

Showing results 21-40

Trainee Exploratory Data Analysis information

See Reston, VA salary details

$23.4K

$92.2K

$149.8K

How much do trainee exploratory data analysis jobs pay per year?

As of Sep 7, 2026, the average yearly pay for trainee exploratory data analysis in Reston, VA is $92,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,700.00 and $112,900.00 per year, depending on experience, location, and employer.

What cities near Reston, VA are hiring for Trainee Exploratory Data Analysis jobs?

Cities near Reston, VA with the most Trainee Exploratory Data Analysis job openings:

Infographic showing various Trainee Exploratory Data Analysis job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $92,242 per year, or $44.3 per hour.

Full-time

Re-posted 22 days ago


Job description

Job Summary:
Spatial Front, Inc. is seeking a Data Scientist to support our growing team. The ideal candidate will develop advanced analytical models and machine learning solutions that generate actionable insights for Federal Government programs.
Responsibilities:
• Develop, train, validate, and deploy machine learning and statistical models to address program analytical challenges.
• Perform exploratory data analysis (EDA) to identify patterns, correlations, and anomalies in complex datasets.
• Collaborate with data engineers to access, prepare, and transform data for modeling and analysis.
• Communicate model findings, limitations, and recommendations to technical and non-technical stakeholders.
• Implement MLOps practices to operationalize and monitor deployed models.
• Design NLP models to support business operations.
• Evaluate and recommend AI/ML tools, frameworks, and platforms for program use.
• Produce data science documentation, including model cards, methodology reports, and technical papers.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor's in Statistics, Mathematics, Computer Science, or related field; Master's preferred.
• 3 years of data analysis, 1 year of machine learning.
• Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive modeling.
• Must be a U.S. Citizen.
• Must possess an active Secret security clearance or be able to obtain one.
Preferred:
• Experience applying data science to DoD or federal agency mission problems.
• Familiarity with Oracle RDBMS 19c
• Experience with LLM models such as OpenAI, Gemini, Mistral, and Nova.
• Experience with ETL, FTL is a plus, including tools such as Ab Initio and Go Anywhere
• Familiarity with data visualization tools such as Power BI or Kibana.
• Understanding of AWS AI toolkit, including Sagemaker, Kiro, and AmazonQ.
• Proficiency with scikit-learn, TensorFlow, PyTorch, or R.
• Experience with cloud-based ML platforms
Company:
SFI effectively delivers the right Information Technology solutions and Business Support services using thoughtful analysis, strategic planning and precise execution. Founded in 2008, the company is headquartered in Mc Lean, USA, with a team of 501-1000 employees. The company is currently Late Stage.