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Data Analyst Machine Learning Jobs in Washington

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 ...

Geo Owl

Data Analyst

Springfield, VA · On-site

You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day-to-day ...

New

Geo Owl

Data Analyst

Springfield, VA · On-site

You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day-to-day ...

N4 Solutions, LLC

Data Analyst

Bethesda, MD · On-site +1

The Data Analyst will provide analytical and technical support services to the National Institute ... The ideal candidate will design, develop, and implement machine learning, natural language ...

N4 Solutions, LLC

Data Analyst

Bethesda, MD · On-site +1

Design, develop, and implement machine learning (ML), natural language processing (NLP), and artificial intelligence (AI) solutions to improve internal grant and portfolio management processes.

N4 Solutions, LLC

Data Analyst

Bethesda, MD · On-site

The Data Analyst will provide analytical and technical support services to the National Institute ... The ideal candidate will design, develop, and implement machine learning, natural language ...

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 ...

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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.
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Data Analyst Machine Learning jobs near you
Performance/Data Analyst III

Performance/Data Analyst III

AITHERAS, LLC

Washington, DC • On-site

$100K - $120K/yr

Full-time

Posted 8 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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