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Data Analyst Machine Learning Jobs in Washington

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

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 ...

KDA Consulting Inc

Data Scientist

Mclean, VA · On-site

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 ...

KDA Consulting Inc

Data Scientist

Herndon, VA · On-site

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 ...

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

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 ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Knowledge of data preprocessing and feature engineering * Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Knowledge of data preprocessing and feature engineering * Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Knowledge of data preprocessing and feature engineering * Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical ...

Cymertek

Machine Learning Engineer

Tysons, VA

Knowledge of data preprocessing and feature engineering * Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical ...

Cymertek

Machine Learning Engineer

Chantilly, VA

Knowledge of data preprocessing and feature engineering * Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical ...

Cymertek

Machine Learning Engineer

Reston, VA

Knowledge of data preprocessing and feature engineering * Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical ...

Amentum

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

Pae

Healthcare (HC) Data Analyst

Bethesda, MD

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

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All JobsData Analyst Machine Learning JobsData Analyst Machine Learning Jobs in Washington

Data Analyst Machine Learning information

What are the key skills and qualifications needed to thrive in the Data Analyst Machine Learning position, and why are they important?

To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting results, understanding business context, and developing models remains essential in the field of data analysis and machine learning.

Is 40 too late for data science?

For a Data Analyst Machine Learning role, age is not a barrier to entering the field. Success depends on acquiring relevant skills such as programming, statistics, and machine learning tools, which can be learned at any age through online courses or certifications.

What is a Data Analyst Machine Learning job?

A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.

What are the typical career progression opportunities for someone in a Data Analyst Machine Learning role?

Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.

Do data analysts work with machine learning?

Data analysts often work with machine learning by preparing data, performing exploratory data analysis, and applying basic models to support decision-making. However, more advanced machine learning tasks are typically handled by data scientists or machine learning engineers who have specialized skills in algorithms and programming tools like Python or R.

What is the salary of data analyst in AI ML?

The salary of a Data Analyst specializing in AI and machine learning typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with skills in Python, R, SQL, and machine learning frameworks may command higher salaries, especially in tech hubs or companies focusing on AI projects.
What are the most commonly searched types of Data Analyst Machine Learning jobs in Washington? The most popular types of Data Analyst Machine Learning jobs in Washington are:
What are popular job titles related to Data Analyst Machine Learning jobs in Washington? For Data Analyst Machine Learning jobs in Washington, the most frequently searched job titles are:
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Data Analyst Machine Learning jobs near you

Data Scientist

KDA Consulting Inc

Chantilly, VA • On-site

Full-time

Posted 25 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

Apply