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Data Analyst Machine Learning Jobs in Washington

SynergisticIT

Junior Data Analyst

Washington, DC · On-site

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

Parsons

Machine Learning / Data Scientist

Washington, DC · On-site

$88K - $154K/yr

We have a career opportunity for a Machine Learning / Data Scientist to develop advanced analytical models and experiments that enhance decision-making, improve forecasting, and uncover insights ...

Cymertek

Data Scientist

Annapolis Junction, MD · On-site

Data Scientist LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

Cymertek

Data Scientist

Reston, VA · On-site

Data Scientist LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

Cymertek

Data Scientist

Tysons, VA · On-site

Data Scientist LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

Cymertek

Data Scientist

Chantilly, VA · On-site

Data Scientist LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

$110 - $170/hr

The ideal candidate will bring hands‑on experience in machine learning, advanced analytics, and AI‑driven product development, with the ability to turn complex data into practical ...

UNISSANT

Machine Learning Engineer

Ashburn, VA · On-site

Build and support reliable data pipelines that improve data quality, accessibility, and usability for machine learning and analytics initiatives. * Collaborate with data engineering and cross ...

CACI International, Inc.

Data Scientist

Alexandria, VA · On-site

The Data Scientist will leverage advanced analytics, machine learning, automation, and data fusion techniques to identify operational trends, forecast outcomes, optimize mission performance, and ...

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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 role?

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.

Do data analysts do machine learning?

Data analysts typically focus on data cleaning, visualization, and reporting, while machine learning involves building predictive models using algorithms. Some data analysts acquire skills in machine learning tools and programming languages like Python or R, but performing advanced machine learning is often the role of data scientists or machine learning engineers. However, basic understanding of machine learning concepts can enhance a data analyst's effectiveness in data-driven decision making.

What is a data analyst machine learning?

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 is the salary of data analyst in AI ML?

The average salary for a Data Analyst specializing in AI and Machine Learning typically ranges from $60,000 to $100,000 annually, depending on experience, location, and skill set. Professionals with expertise in programming languages like Python, R, and tools such as TensorFlow or scikit-learn tend to earn higher salaries. Entry-level roles may start lower, while senior positions or those with advanced certifications can exceed this range.
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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Performance/Data Analyst III

AITHERAS, LLC

Washington, DC • On-site

$100K - $120K/yr

Full-time

Re-posted 19 days ago

Job description

Performance/Data Analyst III

Location: Washington, DC / DOJ Facilities / JMD OCIO / NCC
Clearance / Background: U.S. Citizen required; active Secret clearance minimum; Top Secret/SCI eligibility strongly preferred
Experience Level: 6–10+ years

Role Summary

The Performance/Data Analyst III serves as a senior data science and analytics professional supporting DOJ JMD/OCIO and HSTF.

This role leads advanced analytics, machine learning modeling, network analysis, ETL development, Tableau dashboard enhancement, MIS data governance, and executive-level reporting.

Key Responsibilities
  • Lead advanced analytics, statistical modeling, machine learning, and network analysis for HSTF operational and strategic use cases.
  • Integrate, clean, and merge data from DOJ MIS, FBI, DEA, HSI, ATF, IRS-CI, USAO, and other partner systems.
  • Develop and maintain ETL pipelines for recurring ingestion and transformation of interagency datasets.
  • Build predictive models for investigative prioritization, case success probability, resource allocation, and operational impact.
  • Maintain, enhance, and potentially migrate automated Tableau dashboards.
  • Produce executive, operational, congressional, and interagency performance reports.
  • Conduct quarterly MIS data quality audits and develop audit dashboards with remediation recommendations.
  • Document schemas, data dictionaries, business rules, transformation logic, and analytical methodologies.
  • Identify automation opportunities, workflow optimizations, and reporting improvements.
  • Support transition-in and transition-out activities, preserving institutional knowledge and continuity of operations.
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Analytics, Mathematics, Information Systems, or a related field.
  • 6+ years of applied data science, advanced analytics, BI, or performance measurement experience.
  • Active Secret clearance; ability to obtain or maintain Top Secret/SCI eligibility where required.
  • Expert-level SQL skills for extraction, transformation, analysis, and optimization.
  • Strong Python and/or R experience for statistical modeling, data processing, and automation.
  • Tableau dashboard development and performance reporting experience.
  • Experience with machine learning, predictive modeling, statistical analysis, or network analysis.
  • Experience integrating complex, multi-source, structured datasets.
  • Experience with law enforcement, intelligence, investigations, asset forfeiture, financial crimes, or federal operational data.
  • Strong understanding of data governance, quality assurance, privacy, and secure handling of sensitive information.
Preferred Qualifications
  • Active Top Secret, TS/SCI, or SCI eligibility.
  • Prior DOJ, DHS, FBI, DEA, ATF, HSI, IRS-CI, USAO, or federal law enforcement analytics experience.
  • Experience with criminal network analysis, link analysis, target prioritization, or financial flow analysis.
  • Experience with audit readiness, reconciliation, financial management reporting, or asset forfeiture programs.
  • Experience designing enterprise dashboards for executive and operational audiences.
  • Familiarity with NIST, FISMA, CUI, PII, DOJ privacy/security policies, and federal data standards.
  • Experience with Tableau Server, Power BI, SAS, Alteryx, Palantir, i2 Analyst’s Notebook, Neo4j, ArcGIS, or cloud analytics platforms.
Tools / Technologies

Python, R, SQL, Tableau, Excel, DOJ MIS, ETL pipelines, predictive models, machine learning libraries, statistical analysis tools, dashboards, data dictionaries, data governance tools, Tableau Server, Power BI, SAS, Alteryx, network analysis tools, law enforcement datasets, and financial reporting systems.

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