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Ai Data Analytics Jobs in Reston, VA (NOW HIRING)

Deloitte

AI and Data Science Engineer (TS/SCI Poly)

Mclean, VA · On-site

$115K - $139K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... In this role, you will work across data, analytics, and machine learning initiatives to translate ...

AMERICAN SYSTEMS

Data Advisor - SME

Quantico, VA · On-site

$180K - $200K/yr

Assess existing data sources, data quality, and data architectures to determine feasibility of AI/ML and advanced analytics solutions. * Develop and present decision-quality briefs, white papers, and ...

Deloitte

AI and Data Science Engineer (TS/SCI Poly)

Mclean, VA · On-site

$115K - $139K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... In this role, you will work across data, analytics, and machine learning initiatives to translate ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Lead enterprise data, analytics, governance, and AI-enabled capability delivery across a complex federal technology environment. * Develop and implement data governance policies, standards, operating ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code * Support broader data transformation initiatives ...

Impyrian

AI/Data Solutions Architect

Ashburn, VA · On-site

Serve as a trusted advisor to product, engineering, analytics, and operations teams. * Communicate ... Excited about AI, automation, data platforms, and modern cloud ecosystems. * A strong communicator ...

IMPYRIAN

AI/Data Solutions Architect

Ashburn, VA · On-site

$173K - $220K/yr

Serve as a trusted advisor to product, engineering, analytics, and operations teams. * Communicate ... Excited about AI, automation, data platforms, and modern cloud ecosystems. * A strong communicator ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Reston, VA

Ai Data Analytics information

See Reston, VA salary details

$25

$56

$98

How much do ai data analytics jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for ai data analytics in Reston, VA is $56.96, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $64.52 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized knowledge of tools like Python, TensorFlow, or cloud platforms.

Which 3 jobs will survive AI?

Data analysts, AI specialists, and cybersecurity professionals are expected to remain in demand as AI advances. These roles require critical thinking, complex problem-solving, and specialized skills that are difficult to automate fully. Continuous learning and proficiency with AI tools can enhance job security in these fields.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI Data Analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the salary of an AI data analyst?

The salary of an AI data analyst typically ranges from $60,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, programming, and data visualization tools tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as an AI Data Analyst, and why are they important?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI Data Analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists in a collaborative environment.
What are popular job titles related to Ai Data Analytics jobs in Reston, VA? For Ai Data Analytics jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Ai Data Analytics jobs in Reston, VA look for? The top searched job categories for Ai Data Analytics jobs in Reston, VA are:
What cities near Reston, VA are hiring for Ai Data Analytics jobs? Cities near Reston, VA with the most Ai Data Analytics job openings:
Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Reston, VA as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $118,469 per year, or $57 per hour.

Manager, Data & Analytics

Highspring (Formerly MorganFranklin Consulting)

Mclean, VA • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Highspring is a consulting firm that focuses on delivering data and analytics solutions to Fortune 100 brands and mid-market firms. The Manager, Data & Analytics will lead projects to design and build data warehouses, develop data pipelines, and implement analytics solutions, while collaborating with clients to address their data challenges and business objectives.
Responsibilities:
• Design and build modern data warehouses and analytics-ready data models.
• Develop scalable, reliable data pipelines using cloud-based data platforms.
• Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders.
• Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions.
• Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines.
• Present findings, recommendations, and solution designs to both technical and non-technical audiences.
• Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code.
• Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts.
• Actively participate in internal knowledge sharing, mentoring, and career development activities.
• Support the shaping of the strategic direction of our growing AI/ML, automation, and Data Analytics practice.
• Deliver on projects in the areas of data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.
• Support data transformation initiatives across a range of service lines, including: M&A Lifecycle (integrations, divestitures, and carveouts), Finance Transformation, Enterprise Data Strategy / Governance Standup, Process Improvement and Automation, System Implementations / Migrations, Data and Automation Strategy and Road mapping (including how companies can leverage AI, ML, and other advanced data modeling concepts).
• Identify insights through use of statistical, algorithmic, mining and visualization techniques.
• Conduct interviews with client stakeholders to identify process and data challenges.
• Document and present findings to both technical and non-technical audiences.
• Develop analytical proof-of-concept prototypes and/ or deliver large-scale analytical platform implementations to fulfill clients’ tactical and strategic requirements.
• Develop business procedures and data management policies for ensuring data accuracy and control.
• Create model documentation, develop implementation roadmaps, and perform knowledge transfers.
Qualifications:
Required:
• 4+ years of data analytics, AI, ML, or GenAI experience
• Tier 1/Tier 2 consulting or professional services firms.
• Experience architecting and developing AI/ML solutions.
• Experience programming in Python, SQL, and/or R.
• Experience using GitHub (e.g., source code management).
• Comprehensive knowledge of modern statistical learning methods.
• Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets.
• Experience with any of the following commercial analytics, automation, and AI/ML tools: Alteryx, Power BI, Tableau, Power Automate, UiPath, Automation Anywhere, AI/ML/GenAI platforms, Informatica, Oracle EDMC, etc.
• Proven ability to lead, motivate and build teams that deliver services and solutions that surpass client expectations.
• Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes.
• Experience presenting to CXO suite.
• Industry experience within Financial Services, Technology/SaaS, and/or Supply Chain.
• Understanding of typical software development lifecycles (Waterfall and Agile) and their associated lifecycle artifacts.
• Experience with identifying and correcting problems in imperfect data and processes.
• Bachelor's degree in Mathematics, Statistics, Computer Science, Information Systems, or other technology-related field or equivalent number of years of experience
• Flexibility to accommodate travel up to 25%.
Preferred:
• Strong business skills and experience in accounting, corporate finance, and FP&A.
• Familiarity with the M&A transaction lifecycle.
• Master’s degree in Information Technology, Statistics, Physics, Analytics or related field.
• Experience managing technical development by acting as a liaison between the technical team and the user community.
Company:
MorganFranklin Consulting is now Highspring, a leading global professional services organization with three integrated offerings—Consulting, Managed Services, and Talent Solutions. Founded in 1998, the company is headquartered in Mclean, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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