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Intel Data Scientist Jobs (NOW HIRING)

GRVTY

Data Scientist

Mclean, VA

... the Intel Community. We've been supporting this customer on many different sub-projects of this ... The Data Scientist will be working in a fast-paced, dynamic, agile software development environment.

Apogee Integration LLC

Data Scientist

Chantilly, VA · On-site

Active TS/SCI with FS Polygraph required Position Seeking a Data Scientist to support an ... Challenging work in support of US Intel Community - a Mission that Matters! * Access to our cool ...

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Apogee Integration LLC

Data Scientist

Chantilly, VA · On-site

Active TS/SCI with FS Polygraph required Position Seeking a Data Scientist to support an ... Challenging work in support of US Intel Community - a Mission that Matters! * Access to our cool ...

Apogee Integration LLC

Data Scientist

Chantilly, VA · On-site

Active TS/SCI with FS Polygraph required Position Seeking a Data Scientist to support an ... Challenging work in support of US Intel Community - a Mission that Matters! * Access to our cool ...

Apogee Integration, Llc

Data Scientist

Chantilly, VA · On-site

Active TS/SCI with FS Polygraph required Position Seeking a Data Scientist to support an ... Challenging work in support of US Intel Community - a Mission that Matters! * Access to our cool ...

Apogee Integration, Llc

Data Scientist

Chantilly, VA · On-site

Active TS/SCI with FS Polygraph required Position Seeking a Data Scientist to support an ... Challenging work in support of US Intel Community - a Mission that Matters! * Access to our cool ...

GRVTY

Data Scientist

Mclean, VA · On-site

GRVTY is a leading company in the Intel Community, focused on addressing national security challenges through technical expertise. They are seeking a Data Scientist with a TS/SCI + Poly clearance to ...

Intel

Data Science and Analytics Intern

Phoenix, AZ · On-site

Intel Foundry - Advanced Packaging Technology and Manufacturing (APTM) is seeking an Intern in Data Science and Analytics to join our operations team. In this role, you will gain hands-on experience ...

GRVTY

Data Scientist

Mclean, VA · On-site

$150K - $200K/yr

... the Intel Community. We've been supporting this customer on many different sub-projects of this ... The Data Scientist will be working in a fast-paced, dynamic, agile software development environment.

GRVTY

Data Scientist

Mclean, VA

$150K - $200K/yr

... the Intel Community. We've been supporting this customer on many different sub-projects of this ... The Data Scientist will be working in a fast-paced, dynamic, agile software development environment.

Intel

Data Science and Analytics Intern

Hillsboro, OR · On-site

Intel Foundry - Advanced Packaging Technology and Manufacturing (APTM) is seeking an Intern in Data Science and Analytics to join our operations team. In this role, you will gain hands-on experience ...

The Pennsylvania State University

POSITION SPECIFICS We are looking for Research Data Scientist, to join our Geospatial Data Science ... of the Navy, the Intel Community (IC), and other federal government customers. FOR FURTHER ...

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Intel Data Scientist information

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$122.7K

$196.5K

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

GRVTY

Mclean, VA

Other

Posted 9 days ago

Job description

What Impact You'll Have

GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

What You'll be Owning

GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA. The Data Scientist will be working in a fast-paced, dynamic, agile software development environment. The multi-disciplinary project team works together on multiple projects that includes automating processing of large forensic images, extracting and enriching metadata, and displaying resulting information in meaningful ways for analysts to conduct assessments. Team members utilize a mix of COTS and GOTS tools and technologies; as well as build integrations with a variety of external partner applications. Most solutions are cloud-based. The Sponsor adheres to Agile Scrum development methodology best practices and has 2-week sprint cycles. 

What You Must Have

  • Demonstrated experience building production data pipelines and ETL/ELT workflows at scale. 
  • Demonstrated experience with Apache Spark and PySpark for distributed data processing. 
  • Demonstrated experience with advanced Python programming skills including data manipulation libraries (Pandas, NumPy) and data engineering best practices. 
  • Demonstrated experience understanding data security, privacy, governance, and compliance principles. 
  • Demonstrated experience with workflow orchestration tools such as Step Functions and Airflow. 
  • Demonstrated experience with containerization such as Docker or Podman, and deploying data applications in cloud environments. 
  • Demonstrated experience with AWS services (in particular S3, Lambda, and Step Functions). 
  • Demonstrated experience with PostgreSQL and MySQL in production environments, including performance tuning and schema design. 
  • Demonstrated experience with SQL and query optimization for complex analytical workloads. 
  • Demonstrated experience with version control (Git) and CI/CD practices for data pipelines. 
  • Demonstrated experience working with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight. 
  • Demonstrated experience with strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks. 

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