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Intel Data Scientist Jobs (NOW HIRING)

Intel

Mixed Signal Design Verification Engineer

Hudson, MA · On-site

$122K - $232K/yr

Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related ... The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable ...

Intel

Senior SoC Architect

Santa Clara, CA

Bachelors degree in a specialized field such as Computer Science, Electrical Engineering, or ... The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable ...

Intel

IP Design Verification Engineer

Santa Clara, CA

$141K - $200K/yr

The candidate must have a Bachelor's degree in Electrical/Computer Engineering or Computer Science ... The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable ...

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Intel Data Scientist information

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How much do intel data scientist jobs pay per year?

As of Jul 2, 2026, the average yearly pay for intel data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as an Intel Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in computer science, data science, or a related field. Familiarity with Python, R, SQL, and big data platforms such as Hadoop or Spark, as well as experience with AI frameworks like TensorFlow or PyTorch, is typically required. Exceptional problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help data scientists stand out. These skills and qualities are crucial for extracting actionable insights from large datasets, driving innovation, and supporting Intel's data-driven decision-making.

How do Intel Data Scientists typically collaborate with engineering and product teams to drive impactful solutions?

At Intel, Data Scientists regularly work in cross-functional teams alongside engineers, product managers, and business analysts. Collaboration often involves translating complex data insights into actionable recommendations that inform product development and optimization. Data Scientists are expected to communicate their findings clearly, participate in project planning sessions, and ensure that data-driven solutions are integrated seamlessly into Intel’s cutting-edge hardware and software products. This collaborative environment not only enhances project outcomes but also provides plenty of opportunities for professional growth and learning from diverse technical experts.

What does an Intel Data Scientist do?

An Intel Data Scientist analyzes large and complex datasets to uncover insights, develop predictive models, and support data-driven decision-making within the company. They collaborate with engineering, product, and business teams to solve challenging problems using machine learning, statistical analysis, and other advanced data techniques. Their work helps Intel innovate in areas like processor design, manufacturing, and business operations by leveraging data to drive efficiency and product development.

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

AspectIntel Data ScientistData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; experience with machine learning and programmingBachelor's degree in related fields; proficiency in data visualization and basic analytics
Work EnvironmentResearch and development teams within tech and manufacturing sectors, often collaborative and project-basedBusiness units across various industries, focusing on reporting and data interpretation
Employer & Industry UsageTech companies like Intel, manufacturing, and R&D firmsRetail, finance, healthcare, and other sectors requiring data insights

Intel Data Scientists focus on advanced analytics, machine learning, and developing predictive models, often working in R&D environments. Data Analysts primarily handle data collection, cleaning, and reporting to support business decisions. While both roles require analytical skills, Intel Data Scientists typically have more technical expertise in programming and modeling, working on complex data projects within tech-driven industries.

More about Intel Data Scientist jobs
What cities are hiring for Intel Data Scientist jobs? Cities with the most Intel Data Scientist job openings:
What states have the most Intel Data Scientist jobs? States with the most job openings for Intel Data Scientist jobs include:
What job categories do people searching Intel Data Scientist jobs look for? The top searched job categories for Intel Data Scientist jobs are:
Intel Data Scientist jobs near you
Infographic showing various Intel Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Annapolis Junction, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 hours ago

Job description

A little about us:
 Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.     
Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life:

The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

This role is hands-on across all areas as a data scientist; from understanding customer requirements and collecting data, to developing visualizations and advanced analytics to make data-driven recommendations and decisions. You will work directly with intel analysts to develop prototypes and novel solutions that satisfy complex operational needs. 
  
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.

All of our data scientists need the following skills:     

  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:     

  • Large dataset experience
  • Strong familiarity with data science applications such as association analysis, graph/network analytics, clustering, text analytics, classification and regression (multivariate and logistic).
  • Training in the design and implementation of static and dynamic visualizations in R, Python, Tableau, or similar visualization software.

These are important skills to have, but not necessarily mandatory:     

  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience or exposure to Natural Language Processing (NLP).
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React
The total package:
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
    • Entry-level:  $95,000 - $135,000
    • Mid-level: $110,000 - $155,000 
    • Senior-level:  $135,000 - $235,000
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
 
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight! 
     

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