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About the Role
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.
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.
Requirements
- 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.
- 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.
Skills
- Python
- Database development
- Database management
- GitHub
- AI/ML
- Deep learning
- Image recognition
- Metamodeling
- Data analysis
- Machine learning
Location
- US, Oregon, Hillsboro
- US, Arizona, Phoenix
- US, New Mexico, Albuquerque
Work Type
- Hybrid
Experience Level
- Experienced Hire
Education Level
- PhD in Computer Science, Statistics, or a related field
- Master's degree in Computer Science, Statistics, or a related field
Salary/Compensations
- $136,900.00-228,070.00 USD
Benefits
- Competitive pay
- Stock bonuses
- Health benefits
- Retirement benefits
- Vacation benefits
About the Company
- 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.
- Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.
Equal Opportunity
- 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.