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No Experience Data Analyst Machine Learning Jobs

VTG

Data Scientist

Mclean, VA · On-site

Demonstrated experience with quantitative analysis, machine learning, and statistical modeling. * Experience conveying complex data science insights to non-technical audiences * Specific experience ...

Somatus, Inc.

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

Perform exploratory data analysis, statistical modeling, causal inference, and other advanced ... Some experience with relational databases and SQL * Understanding of software engineering best ...

Jobcertify

Data Analyst

El Paso, TX

Industry experience in predictive modeling, data science and analysis. Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms ...

Jobsultant Solutions

Data Analyst

Atlanta, GA

Industry experience in predictive modeling, data science and analysis. Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · Hybrid

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · On-site

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

360 IT Professionals

DATA ANALYST

Dallas, TX

Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data platforms ... and machine learning Additional Information All your information will be kept confidential ...

Amentum

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

Leads structuring data, natural language processing, database technologies, and machine learning ... Senior level experience with HR-related Data Analytics, to include support for HC surveys (eg Lime ...

Pae

Healthcare (HC) Data Analyst

Bethesda, MD

Leads structuring data, natural language processing, database technologies, and machine learning ... Senior level experience with HR-related Data Analytics, to include support for HC surveys (eg Lime ...

Baron Public Affairs, LLC

Data Analyst

Washington, DC · On-site

$80 - $90/hr

A data analyst will be involved in every part of a research project, from organizing and designing ... Experience with and technical understanding of machine learning algorithms and tools * Strong ...

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How much do no experience data analyst machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for no experience data analyst machine learning in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a no experience data analyst machine learning?

A No Experience Data Analyst in Machine Learning is an entry-level professional who is starting out in data analysis with a focus on machine learning concepts, but does not yet have prior work experience in the field. These analysts typically use data tools and basic machine learning techniques to clean, organize, and interpret datasets under supervision. They often learn on the job, gaining skills in data visualization, statistical analysis, and foundational machine learning algorithms. Many begin with online courses, bootcamps, or internships to build their expertise and portfolios. This role is ideal for those transitioning into tech or analytics from different backgrounds.

What are the key skills and qualifications needed to thrive as a no experience data analyst machine learning?

To thrive as a No Experience Data Analyst in Machine Learning, you need foundational knowledge in statistics, data interpretation, and basic programming skills, often gained through relevant coursework or online certificates. Familiarity with tools like Python, SQL, Excel, and machine learning libraries such as scikit-learn or TensorFlow is typically expected. Strong problem-solving, attention to detail, and a willingness to learn new concepts help set candidates apart in this entry-level role. These skills are vital for accurately analyzing data, building predictive models, and supporting data-driven decision-making in a rapidly evolving field.

What are some common challenges faced by entry-level data analysts working with machine learning, and how can they overcome them?

Entry-level data analysts working with machine learning often encounter challenges such as understanding complex algorithms, cleaning and preparing raw data, and interpreting model outputs. To overcome these obstacles, it's helpful to leverage online tutorials, seek mentorship from senior team members, and actively participate in team meetings to clarify doubts. Collaborating with data scientists and software engineers can also accelerate learning and help bridge gaps in technical knowledge. Emphasizing continuous learning and practicing on real datasets can further build confidence and competence in the field.
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No Experience Data Analyst Machine Learning jobs near you
Infographic showing various No Experience Data Analyst Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Scientist

VTG

Mclean, VA • On-site

Full-time

Re-posted 27 days ago

Job description

Overview

VTG is seeking a talented and experienced Data Scientist to join our dynamic and innovative team in Herndon, VA/Chantilly, VA.


What will you do?

  • Collect, clean, and analyze large, complex datasets from multiple sources.

  • Develop and implement statistical models, predictive analytics, and machine learning algorithms.

  • Design experiments and evaluate models to ensure accuracy, reliability, and scalability.

  • Translate data-driven findings into clear business insights and recommendations.

  • Collaborate with cross-functional teams (engineering, product, business stakeholders) to identify opportunities for data solutions.

  • Create dashboards, reports, and data visualizations to effectively communicate results.

  • Stay up to date on industry trends, tools, and best practices in data science and AI/ML.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required:

  • TS/SCI with Full Scope Polygraph
  • BS in a quantitative field (mathematics, data science, statistics)
  • At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning
  • Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab
  • Demonstrated experience with producing analytic insights from large scale data.
  • Demonstrated experience with quantitative analysis, machine learning, and statistical modeling.
  • Experience conveying complex data science insights to non-technical audiences
  • Specific experience with the Palantir Foundry/Gotham suite of tools

Desired:

  • Experience with telecommunications metadata and content analysis
  • Experience exploiting or deriving insights from SIGINT, computer network exploitation, or other technical collection
  • Prior counterintelligence experience
  • Specific interest in or experience with technical surveillance

This position is open for current and future openings.

Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required:

  • TS/SCI with Full Scope Polygraph
  • BS in a quantitative field (mathematics, data science, statistics)
  • At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning
  • Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab
  • Demonstrated experience with producing analytic insights from large scale data.
  • Demonstrated experience with quantitative analysis, machine learning, and statistical modeling.
  • Experience conveying complex data science insights to non-technical audiences
  • Specific experience with the Palantir Foundry/Gotham suite of tools

Desired:

  • Experience with telecommunications metadata and content analysis
  • Experience exploiting or deriving insights from SIGINT, computer network exploitation, or other technical collection
  • Prior counterintelligence experience
  • Specific interest in or experience with technical surveillance

This position is open for current and future openings.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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