Data Scientist

Intel•Hillsboro, OR

1d•Hybrid

About The Position

As a Data Scientist in Intel's Foundry group, you will design and implement data-driven solutions to 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 applies data analysis and machine learning to advance innovation and improve technology and business processes. Intel's Foundry group advances the company's manufacturing capabilities by using data-driven insights to optimize processes, improve quality, and enhance performance across production systems. The position collaborates with development teams, business units, and technical teams to turn data into scalable solutions and predictions.

Requirements

PhD in Computer Science, Statistics, or a related field; or a Master's degree in one of these fields with 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 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.

Responsibilities

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.