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Data Analyst Machine Learning Jobs in Washington

OneGlobe LLC

Data Analyst

Washington, DC · On-site

Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning concepts. * Strong communication skills for analysis techniques, concepts, and products. * Ability ...

ONEGLOBE LLC

Data Analyst

Washington, DC

Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning concepts. * Strong communication skills for analysis techniques, concepts, and products. * Ability ...

Full Scope

Machine Learning Engineer

Reston, VA

Conduct data analysis and preprocessing to ensure high-quality data for model training. * Optimize and fine-tune models for performance, accuracy, and scalability. * Deploy machine learning models ...

Navstar

Machine Learning Engineer

Centreville, VA

$102K - $144K/yr

Analyze errors of the data, model, and design strategies to overcome them * Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots ...

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 ...

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

Data Analyst Machine Learning information

See Washington salary details

$38.5K

$93.6K

$154K

How much do data analyst machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data analyst machine learning in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

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.

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.

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:
What job categories do people searching Data Analyst Machine Learning jobs in Washington look for? The top searched job categories for Data Analyst Machine Learning jobs in Washington are:
Data Analyst Machine Learning jobs near you
Infographic showing various Data Analyst Machine Learning job openings in Washington as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.
Data Analyst

Data Analyst

OneGlobe LLC

Washington, DC • On-site

Full-time

Posted 25 days ago

Job description

The Data Analyst is a key member of the project team, working under occasional supervision to mine, prepare, analyze, and report on mission data. They implement models built by senior team members, design dashboards and reports, and surface findings that inform program decisions and policy.
  • Perform data mining, profiling, cleansing, and preparation across structured datasets.
  • Conduct analyses and studies, including needs and gap assessments, and assess accuracy and reasonableness of data and proposed solutions.
  • Implement data models and analytic pipelines designed by senior data scientists.
  • Build and maintain dashboards and reports - including contributions to mission analytic dashboards.
  • Document analyses, assumptions, and recommendations for technical and operational audiences.
  • Provide database support and coordinate with data engineers on access, quality, and lineage.
  • Support data-driven decision making for stakeholders by translating questions into queries, visualizations, and concise narratives.

Requirements
  • Four (4)+ years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, or operations research.
  • Two (2)+ years of applied data science research or big data analytics experience.
  • Bachelor's degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or a closely related scientific or technical discipline. (A Master's may substitute for up to two years of experience; a Ph.D. may substitute for experience.)
  • Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning concepts.
  • Strong communication skills for analysis techniques, concepts, and products.
  • Ability to develop data-driven analyses and reports based on data visualizations and data models.
Preferred Qualifications
  • Experience with regulatory, fraud, supply-chain, or other complex mission datasets.
  • Familiarity with statistical methods (hypothesis testing, regression, time series).
  • Experience preparing Section 508-compliant dashboards and reports.
  • Experience with version control and reproducible analysis (Git, Jupyter, parameterized notebooks).
Tools & Technologies
  • SQL (PostgreSQL, Oracle, Snowflake, Redshift, BigQuery).
  • Python (pandas, NumPy, matplotlib, seaborn) and/or R.
  • Visualization: Tableau, Power BI, Plotly, Excel (advanced).
  • ETL & orchestration: Alteryx, dbt, Airflow (familiarity).
  • Notebook environments: Jupyter, Databricks, VS Code.
Clearance & Suitability
U.S. Citizenship required. Candidates must currently possess or be able to favorably pass a five (5) year federal background investigation prior to start.
OneGlobe LLC is a small business headquartered in Virginia that has delivered innovative software engineering, cloud, data, and AI/ML solutions to federal customers since 2005. We are an AWS Partner Network Advanced Tier Consulting Partner, CMMI-DEV Level 3 appraised, and have been recognized as a Top Workplace. Our culture emphasizes continuous learning, collaboration, and mission-focused delivery - and we invest in our people through training, certifications, and clear career pathways.
OneGlobe is staffing a federal data science services team that supports a high-impact mission program. The team works alongside business analysts, machine learning engineers, application developers, and government leaders to build analytic and AI/ML capabilities on top of an enterprise analytics platform. The work spans predictive and prescriptive analytics, machine learning, natural language processing, graph analytics, visualization, and unified case management - at a scale of millions of records per day. Engagements typically run from three-month sprints to multi-year capability builds, on mostly structured data drawn from many disparate sources.

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