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Applied Data Analytics Jobs (NOW HIRING)

Evolver

Applied Data Science Intern

Palo Alto, CA

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation frameworks * Enterprise AI integration and deployment tooling * Product prototyping and applied research

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation frameworks * Enterprise AI integration and deployment tooling * Product prototyping and applied research

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Advanced Data Analysis: Perform complex statistical analyses to push the envelope, interpret trends ...

Prime Intellect

Applied Research - Evals & Data

New York, NY · On-site

$125K - $150K/yr

Integrate applied data collection and analytics into the post-training process to surface regressions, emergent skills, and alignment opportunities. * Prototype multi-agent and memory-augmented ...

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ · On-site

Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one ... Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a ...

GitKraken

Applied Data Scientist

Scottsdale, AZ · Remote

Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one ... Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a ...

Booz Allen Hamilton

Applied Data Scientist

Arlington, VA · On-site

$99K - $225K/yr

Applied Data Scientist The Opportunity: As a data scientist, you're excited about building ... You'll help move beyond analysis to create robust, maintainable AI and ML systems that deliver ...

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ

Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one ... Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a ...

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Applied Data Analytics information

See salary details

$26K

$129.5K

$229.5K

How much do applied data analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for applied data analytics in the United States is $129,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $174,000.00 per year, depending on experience, location, and employer.

What is applied data analytics?

An Applied Data Analytics job involves using data analysis, statistical methods, and machine learning techniques to extract insights and support decision-making in various industries. Professionals in this role work with large datasets, clean and preprocess data, and create visualizations to communicate findings effectively. They often use programming languages like Python or R, along with database tools such as SQL, to analyze trends and optimize business processes. Applied Data Analytics roles are found in sectors like healthcare, finance, marketing, and technology, helping organizations make data-driven decisions.

What does someone working in applied data analytics do?

Professionals in Applied Data Analytics typically spend their days collecting, cleaning, and analyzing large datasets to identify trends and patterns relevant to their organization’s goals. They use various statistical and machine learning techniques to build predictive models, generate visual reports, and present data-driven recommendations to stakeholders. Collaborating with cross-functional teams such as marketing, operations, and IT is common, ensuring data solutions are closely aligned with business needs. This dynamic role also involves continuous learning to keep up with evolving analytical tools and methodologies.

What are the key skills and qualifications needed to thrive in applied data analytics?

To thrive in Applied Data Analytics, you need strong analytical skills, proficiency in statistical methods, and typically a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau or Power BI, and knowledge of SQL are commonly required, along with relevant certifications such as Certified Analytics Professional (CAP). Strong problem-solving abilities, effective communication, and a knack for translating complex data into actionable insights set standout professionals apart. These skills are crucial for transforming raw data into meaningful solutions that support informed business decisions and drive organizational success.

Is data analytics a good career?

Applied Data Analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, or R. It offers opportunities across various industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.
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Applied Data Analytics jobs near you
Infographic showing various Applied Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,468 per year, or $62.2 per hour.

Applied Data Science Intern

Evolver

Palo Alto, CA

Full-time, Internship

Re-posted 5 days ago

Job description

Applied Data Science Summer Internship 

About Us:

Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.

Program Details:

Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.

  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:

Interns will contribute to real data innovation projects involving:

  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.

Mentorship & Learning

Interns will work closely with experienced staff and technical mentors with expertise in:

  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:

  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:

We welcome applications from:

  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.

Strong candidates typically demonstrate:

  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.

Apply