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Senior Data Analyst Machine Learning Jobs in Washington

Senior Data Analyst

Falls Church, VA ยท On-site

$100 - $125/hr

The Senior Data Analyst will lead the analysis of large, complex data sets from multiple program sources and transform the results into clear, actionable findings. The role includes monitoring data ...

Senior Data Analyst

Falls Church, VA ยท On-site

$91K - $115K/yr

The Senior Data Analyst will lead the analysis of large, complex data sets from multiple program sources and transform the results into clear, actionable findings. The role includes monitoring data ...

Senior Data Analyst

Falls Church, VA ยท On-site

$91K - $115K/yr

The Senior Data Analyst will lead the analysis of large, complex data sets from multiple program sources and transform the results into clear, actionable findings. The role includes monitoring data ...

Senior Data Analyst

Falls Church, VA ยท On-site

$91K - $115K/yr

The Senior Data Analyst will lead the analysis of large, complex data sets from multiple program sources and transform the results into clear, actionable findings. The role includes monitoring data ...

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data ...

Senior Data Analyst

Mclean, VA ยท Hybrid

$86K - $109K/yr

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities * Employee ...

Junior Data Scientist

Arlington, VA ยท On-site

$100K - $120K/yr

Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects. * Assist senior analysts with statistical modeling, machine learning, trend ...

Senior Data Analyst Req ID 002-25 v1.0 HazeGrayCyber, LLC is focused on delivering Cyber Security ... AI and Machine Learning/SAS Certified Analytics Professional * IBM Data Science Professional ...

Senior Data Scientist

Chantilly, VA ยท On-site

$130K - $160K/yr

Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and ... The development of frameworks for creating and integrating machine learning models such as ...

Senior Data Analyst

Washington, DC ยท On-site

$80 - $100/hr

Senior Data Analyst Location: Washington, D.C.; (Hybrid, after 90 days In-person) Status: Full-time; Exempt Reports to: Business & Data Analytics Manager Direct Reports: None Typical Work Hours: 8:30 ...

Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects. * Assist senior analysts with statistical modeling, machine learning, trend ...

Senior Data Analyst

Silver Spring, MD ยท On-site

$89K - $112K/yr

Think Tank is seeking a Senior Data Analyst to support the National Marine Fisheries Service (NMFS). This role will focus on analyzing international seafood trade data

Showing results 41-60

Senior Data Analyst Machine Learning information

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

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 Senior Data Analyst Machine Learning jobs in Washington?

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

What job categories do people searching Senior Data Analyst Machine Learning jobs in Washington look for?

The top searched job categories for Senior Data Analyst Machine Learning jobs in Washington are:

What cities in Washington are hiring for Senior Data Analyst Machine Learning jobs?

Cities in Washington with the most Senior Data Analyst Machine Learning job openings:

Infographic showing various Senior 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.

Senior Data Scientist / AI Machine Learning Research Engineer

Sterling, VA โ€ข On-site

$82K - $172K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

Job Title: Senior Data Scientist / AI Machine Learning Research Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: Top Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US Anticipated Posting End: 1/1/2100 The Opportunity: CACI has an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. Apply machine learning, statistics, to develop algorithms to solve challenging problems, signal processing, and computer networking domains. In this role, you'll leverage your strong foundation in machine learning, data science, and signal processing to solve complex challenges in the RF domain.

Responsibilities: 1. Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries. 2.

Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing. 3. Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment

4. Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). 5

Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles. Qualifications: Required: Master's degree in quantitative field with mathematical underpinnings and at least 5 years' experience. Experience developing models,.

Strong background in machine learning, mathematics and statistics. Comfortable using Linux operating systems and commonly used Linux utilities. Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph Desired: Ph.D

in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics. Experience applying machine learning to signal processing and/or other time-series data analysis applications. Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests.

Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance. Active Top Secret/SCI clearance preferred. - What You Can Expect: A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.

We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $82,100-$172,400 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.