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Entry Level Data Scientist Machine Learning Jobs in Virginia

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve complex mission problems * Build predictive and prescriptive analytics solutions to support ...

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May use machine learning and statistical approaches based on the analysis of the dataset. May ...

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and ... Develop and implement statistical models, predictive analytics, and machine learning algorithms.

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and ... Develop and implement statistical models, predictive analytics, and machine learning algorithms.

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven ... You will leverage your expertise in statistics, machine learning, and data analysis to extract ...

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven ... You will leverage your expertise in statistics, machine learning, and data analysis to extract ...

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven ... You will leverage your expertise in statistics, machine learning, and data analysis to extract ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, ...

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Entry Level Data Scientist Machine Learning information

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist in Machine Learning, and why are they important?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are entry level data scientist machine learning jobs?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry-level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Virginia? The most popular types of Data Scientist Machine Learning jobs in Virginia are:
What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Virginia? For Entry Level Data Scientist Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Virginia look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Virginia are:

Data Scientist

KDA Consulting Inc

Mclean, VA • On-site

Full-time

Posted 13 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.

Bachelor’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