Data Scientist

Intel Corporation•Hillsboro, OR

2d•$136,900 - $228,070•Hybrid

About The Position

As a Data Scientist in Intel Foundry, you will design and implement data-driven solutions to address complex business problems. You will develop algorithms, applications, and predictive models that extract actionable insights from structured and unstructured data, supporting informed decision-making across the organization. The role advances innovation through data analysis and machine learning and contributes to optimizing manufacturing processes, quality, and performance across production systems. The position involves developing AI/ML and deep-learning frameworks, applying statistical and predictive methods, and translating raw data into useful intelligence. You will collaborate with technical teams, development teams, and business units to explore data, communicate findings, and implement scalable solutions. The role is eligible for Intel’s hybrid work model, with time split between an assigned Intel site and off-site work.

Requirements

PhD in Computer Science, Statistics, or a related field; or a master's degree in one of these fields or a related field plus at least 3 years of hands-on data science experience.
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.

Nice To Haves

Experience with Intel-specific challenges, such as image recognition or metamodeling of Intel datasets.
Exposure to advanced AI/ML techniques relevant to Intel’s data environments.
Strong communication skills for collaborating across teams and presenting findings.
Passion for using data science to drive innovation and solve real-world problems.

Responsibilities

Develop algorithms and applications to address business challenges using coding and large-scale experimentation.
Build data-driven applications that turn 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 to 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 support scalable model implementation.
Explore and compile data from various sources with technical teams to derive insights and predictions.
Troubleshoot and support service offerings using analytical platforms, commercial tools, and custom scripts.
Establish data science methodologies for coding, analytics, and experimentation.