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Open nowPosted today

Data Scientist

Intel667 open roles

Pay
$136,900 – $228,070 a year
Where
US Oregon Hillsboro
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Your applicationOpen nowData ScientistIntel · US Oregon Hillsboro
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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Intel postings stay open a median of 24 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted today

Intel median: 24 days open

The posting

Job Details:

Job Description:

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.

Join us and build on our legacy of innovation and collaboration as we deliver world‑changing technology that improves the life of every person on the planet.

Life at Intel: https://jobs.intel.com/en/life-at-intel

The Role and Impact: As a Data Scientist, you will play a pivotal role in designing and implementing data-driven solutions that solve complex business problems. You will develop algorithms, applications, and predictive models to extract actionable insights from structured and unstructured data, enabling informed decision-making across the organization. This role is key to driving innovation through data analysis and machine learning, shaping the future of technology and business processes at Intel.

Business Group: The Intel Foundry group is at the forefront of advancing Intel's manufacturing capabilities. Focused on delivering cutting-edge solutions, this team supports Intel's broader goals by leveraging data-driven insights to optimize processes, improve quality, and enhance performance across production systems. Joining this group means contributing to Intel's mission to lead in innovation and empower technological progress.

Responsibilities include but are not limited to:

  • Develop algorithms and applications to address business challenges using coding and large-scale experimentation.
  • Build data-driven applications that translate raw data into actionable intelligence.
  • Apply predictive modeling, statistical analysis, and other techniques to explore and interpret data.
  • Organize, structure, and communicate insights through visualizations, dashboards, and presentations that support decision-making.
  • Detect and correct data anomalies while ensuring data integrity.
  • Design, develop, and optimize AI/ML and deep learning frameworks for training and inference.
  • Collaborate with development teams and business units to ensure scalable implementation of models.
  • Explore and compile data from various sources in partnership with technical teams to derive insights and predictions.
  • Troubleshoot and support service offerings using analytical platforms, commercial tools, and custom scripts.
  • Establish methodologies for data science, including coding, analytics, and experimentation.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and internship experience.

Minimum qualifications:

  • PhD in Computer Science, Statistics, or a related field; OR
  • Master's degree in Computer Science, Statistics, or a related field with 3+ years of hands-on experience in data science
  • Proficiency in Python programming.
  • Familiarity with database development and management.
  • Hands-on experience with GitHub-based code development workflows.
  • Demonstrated ability to deploy and maintain agents and /or web applications.

Preferred qualifications:

  • Experience with Intel-specific challenges, such as image recognition or metamodeling of Intel datasets.
  • Exposure to advanced AI/ML techniques relevant to Intel's unique data environments.
  • Strong communication skills to collaborate effectively across teams and present findings.
  • Passion for leveraging data science to drive innovation and solve real-world problems.

We invite talented candidates who are excited about tackling meaningful challenges, contributing to groundbreaking advancements, and growing within a team that values diversity, collaboration, and curiosity. Join us to make a lasting impact at Intel.

Interview Tips: https://www.intel.com/content/www/us/en/jobs/hiring.html

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro

Additional Locations:

US, Arizona, Phoenix, US, New Mexico, Albuquerque

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $136,900.00-228,070.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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