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Data Analyst Machine Learning Jobs in Washington

Venturegloballng

Engineer, Machine Learning

Arlington, VA · On-site

$157K - $185K/yr

Work with data scientists, data engineers, and business analysts to translate business requirements into machine learning solutions. * Build software solutions that are maintainable, scalable and ...

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

$112K - $177K/yr

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, mission-focused ...

Intrepid

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

SPA has an immediate need for a Data Analyst. #FC #Dice Responsibilities The Data Analyst will ... Experience in software testing, AFSIM, neural networks, AI, meta modeling, or machine learning.

Cymertek Corporation

Machine Learning Engineer

Reston, VA · On-site

$125 - $150/hr

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 · 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 · 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 ...

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 ...

CACI

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 ...

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

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 ...

CACI

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 ...

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 ...

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 ...

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

Data Analyst Machine Learning information

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 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.

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 industry. Professionals with skills in Python, R, SQL, and machine learning tools tend to earn higher salaries, especially in tech hubs and 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:

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For Data Analyst Machine Learning jobs in Washington, the most frequently searched job titles are:

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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 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution.

Engineer, Machine Learning

Arlington, VA • On-site

Venturegloballng
See more jobs at Venturegloballngexternal

$157K - $185K/yr

Full-time

Re-posted yesterday

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.

We are seeking qualified applicants for the position:

Engineer, Machine Learning

Located:

Arlington

Summary

The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization algorithms. This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work will be done in Databricks and PySpark.

The ideal candidate will have excellent technical proficiency, excellent communication skills, a self-driven mindset, and the willingness to continuously learn new things.

This position will report to the Director of Business Intelligence and is structured within IT under the Vice President of Applications.

The position will be located in Arlington, VA and will require commuting to the office 5 days a week.

General Description Duties & Responsibilities

  • Work with business stakeholders to define project requirements.
  • Orchestrate, scale, setup and improve model serving pipelines.
  • Improve model accuracy through feature engineering, tuning, and observability.
  • Improve model computational performance through all aspects of the pipeline, including tuning clusters/job compute, partitioning, caching, feature engineering code, tuning setup, etc.
  • Integrate machine learning models into production environments, ensuring reliability and scalability.
  • Evaluate pretrained models and software from vendors and support integration into production environments.
  • Develop comprehensive project plans for implementing machine learning and AI projects including solution architectures, resourcing, and dependencies.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Work with data scientists, data engineers, and business analysts to translate business requirements into machine learning solutions.
  • Build software solutions that are maintainable, scalable and provide quantifiable business value.
  • Continuously focus on quality architecture, quality code, and ruthless management of technical debt.
  • Continuously push the practice forward, learning and testing newer and better ways of performing work.

Qualifications

Required experience

  • 5 years of machine learning engineering, software engineering, or data science experience.
  • Bachelors in a quantitative field of study.

Preferred Experience

  • Masters in a quantitative field of study.
  • Experience with the Azure, AWS, or other cloud ecosystems.
  • Experience in building secure data processing pipelines.
  • Proficient in utilizing data lakes, CI/CD pipelines, Databricks, Unity Catalog, and Git.
  • Experience working with streaming.
  • Expertise in building machine learning solutions using cloud data services.
  • Exceptional skills in data processing languages such as SQL, Python, or Scala.
  • Exceptional skills in feature engineering, model optimization, and parameter tuning.

Salary Range

$157,000-$185,000

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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