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Ml Data Analyst Jobs (NOW HIRING)

# AI and ML Data ScientistJobs via DiceMcLean, USPart-time## About the RoleJob Number: R0242343AI and ... You'll work closely with clients, analysts, engineers, and mission stakeholders to understand ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Provide advanced analytics solutions through visual displays on geographic models/maps and ... Develop AI/ML models in accordance with enterprise standards, ensuring efficient data sharing ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Ml Data Analyst information

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$34K

$82.6K

$136K

How much do ml data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ml data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an ML data analyst?

ML Data Analysts are professionals who analyze and interpret data to help machine learning models perform better. They collect, clean, and preprocess data, then use statistical and analytical techniques to extract insights, identify trends, and evaluate model performance. Their work is crucial for improving the accuracy and relevance of machine learning algorithms. They often collaborate with data scientists, engineers, and business teams to turn data into actionable insights.

What are the key skills and qualifications needed to thrive as an ML data analyst?

To thrive as an ML Data Analyst, you need strong analytical skills, proficiency in statistics, and experience with data wrangling and visualization, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python or R, SQL databases, and machine learning libraries like scikit-learn or TensorFlow, as well as certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is highly beneficial. Critical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate data-driven insights, effective model development, and successful translation of complex findings to stakeholders.

How does an ML data analyst typically collaborate with data scientists and engineers on machine learning projects?

As an ML Data Analyst, you’ll often serve as a bridge between raw data and actionable insights for machine learning initiatives. You’ll work closely with data scientists to help prepare, clean, and analyze data, ensuring its quality and relevance for model development. Collaboration with data engineers is also common, as you may help define data requirements and troubleshoot pipeline issues. Regular communication and teamwork are essential, as your analyses and reports directly inform model selection, feature engineering, and project outcomes.

What is the difference between Ml Data Analyst vs Data Scientist?

AspectML Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; knowledge of machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong statistical and programming skills
Work EnvironmentData analysis teams, business units, using analytics tools and machine learning modelsResearch teams, data labs, developing models and algorithms for complex data problems
Employer & Industry UsageTech companies, finance, healthcare, retail; focused on applying machine learning to analyze dataTech firms, research institutions, consulting; involved in developing new models and data-driven solutions

ML Data Analysts focus on applying machine learning techniques to analyze data and generate insights, often working within business teams. Data Scientists have a broader scope, developing new algorithms and models for complex data challenges. Both roles require strong analytical skills, but Data Scientists typically have more advanced programming and statistical expertise.

What is the salary of data analyst in AI ML?

The salary of a data analyst working 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 or R, and familiarity with tools such as TensorFlow or SQL, may earn higher salaries. Entry-level positions generally start lower, while experienced analysts or those with specialized certifications can command higher compensation.

What cities are hiring for Ml Data Analyst jobs?

Cities with the most Ml Data Analyst job openings:

What states have the most Ml Data Analyst jobs?

States with the most job openings for Ml Data Analyst jobs include:

What are popular job titles related to Ml Data Analyst jobs?

For Ml Data Analyst jobs, the most frequently searched job titles are:

AI and ML Data Scientist

Mclean, VA • On-site

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Re-posted 5 days ago


Job description

# AI and ML Data ScientistJobs via DiceMcLean, USPart-time## About the RoleJob Number: R0242343AI and ML Data ScientistThe Opportunity:As an Agentic AI Engineer and Data Scientist for military intelligence, you're excited by the opportunity to design, develop, and deploy advanced AI systems that help analysts transform complex, fragmented information into actionable intelligence. You understand the possibilities created by large language models (LLMs), machine learning (ML), natural language processing (NLP), autonomous workflows, and multi-agent architectures, and you want to apply them to mission-critical national security challenges.In today's contested and information-rich operating environment, military intelligence teams must rapidly make sense of large volumes of structured and unstructured data from multiple sources, formats, and domains. As an AI professional at Booz Allen, you'll help build intelligent systems that support intelligence discovery, analysis, prioritization, reporting, and decision advantage for defense and national security clients.On our team, you'll use your AI, data science, and sof tware development skills to create real-world mission impact. You'll work closely with clients, analysts, engineers, and mission stakeholders to understand operational needs, identify high-value use cases, and develop agentic AI capabilities that can reason over data, orchestrate workflows, retrieve relevant information, generate analytic products, and support human-in-the-loop decision-making. You'll design and implement AI agents, retrieval-augmented generation pipelines, evaluation frameworks, prompt strategies, data processing workflows, and mission-focused prototypes. You'll help ensure these systems are reliable, explainable, secure, testable, and aligned to operational requirements. Ultimately, you'll help military intelligence organizations use AI responsibly and effectively to accelerate insight, improve analytic tradecraft, and support informed decisions.Work with us as we develop advanced AI capabilities for the mission.Join us. The world can't wait.You Have:• Experience developing, integrating, or evaluating AI, ML, NLP, LLMs, or agentic AI capabilities for mission, operational, or enterprise use cases, and building AI-enabled applications using Python and modern AI / ML libraries or frameworks, including PyTorch, Scikit-Learn, LangChain, LlamaIndex, Hugging Face, or CUDA• Experience developing agentic AI systems, including autonomous or semi-autonomous agents, tool-using agents, multi-step reasoning workflows, task orchestration, retrieval-augmented generation, or human-in-the-loop AI capabilities• Experience analyzing, processing, and integrating structured and unstructured data sources, including intelligence data such as text, reports, messages, met adata, documents, or geospatial data• Experience designing, testing, validating, or evaluating AI/ML systems, including model performance, accuracy, relevance, robustness, hallucination mitigation, or mission-aligned evaluation criteria• Experience supporting military intelligence, defense intelligence, all-source analysis, targeting, indications and warning, collection management, operations intelligence, or national security missions, and developing AI systems for classified, air-gapped, secure, or operationally constrained environments• Experience with prompt engineering, prompt evaluation, model benchmarking, fine-tuning, synthetic data generation, or LLM application development• Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling, classification models, model evaluation, and data quality assessment• Ability to translate military intelligence mission requirements into technical AI solutions, prototypes, and production-ready capabilities• TS/SCI clearance• Bachelor's degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, or StatisticsNice If You Have:• Experience with distributed data, cloud, or high-performance computing tools, including Spark, Kafka, Hadoop, Hive, EMR, Databricks, Kubernetes, Docker, OpenSearch, Elasticsearch, or similar technologies• Experience developing APIs, microservices, analytic interfaces, dashboards, or production sof tware using FastAPI, Flask, REST services, Git, CI / CD, DevSecOps, Plotly, Dash, Streamlit, Tableau, or Power BI• Knowledge of intelligence tradecraft, analytic standards, military operations, Joint or Combatant Command environments, the intelligence cycle, AI safety, model governance, responsible AI, explainability, auditability, access control, or data security• Ability to collaborate with analysts, engineers, data owners, security teams, and mission stakeholders to deploy AI-enabled capabilities in operational environments• TS/SCI clearance with a polygraph• Master's degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, Statistics, or a related field• AI, ML, Cloud Computing, Data Engineering, Cybersecurity, or De #J-18808-Ljbffr