Job Description
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, 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.
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
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.
Annual Salary Range for jobs which could be performed in the US: $136,900.00–228,070.00 USD. The range displayed 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.
Work Model for this Role
This role will be eligible for the 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.
