Job Details:

Job Description: 

The Role and Impact As a Data Scientist, you will play a vital role in transforming data into actionable intelligence, driving innovative solutions, and shaping the future of our business. Your work will directly impact decision-making processes and contribute to the development of cutting-edge products, applications, and services. By leveraging your expertise in data analysis, predictive modeling, and machine learning, you will help solve complex business challenges and enable smarter, data-driven strategies that power our organization's success. Join us in pushing the boundaries of what is possible and making meaningful contributions to the technology landscape. Key Responsibilities - Develop, implement, and refine algorithms and applications that translate complex data into actionable insights to address real-world business problems. - Conduct large-scale data experimentation and analysis, utilizing predictive modeling, statistics, and advanced analytics techniques to extract valuable insights from structured and unstructured data. - Design and build data-driven applications, dashboards, and visualizations to effectively communicate analysis results and enhance organizational decision-making. - Detect data anomalies, identify issues, and implement corrective measures to ensure the accuracy and reliability of data-driven models and tools. - Develop and optimize artificial intelligence, machine learning, and deep learning frameworks for both training and inference. - Collaborate with cross-functional teams, including technical staff and engineers, to explore, collect, and compile data from diverse sources for meaningful analysis and prediction. - Drive the development of scalable models and ensure successful implementation across various applications and client-facing solutions. - Support troubleshooting for service offerings using proprietary analytical platforms, commercial tools, and custom scripts. - Establish and promote standard methodologies for data science, including modeling, coding, analytics, and experimentation. - Contribute to the research and development of innovative data science approaches and support product development initiatives as required.

Qualifications:

Minimum Qualifications
- Bachelor's or higher degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
- 6 or more years of professional experience in data science with a Bachelor's degree, 4 or more years with a Master's degree, or 2 or more years with a PhD.

Experience to be considered:
- Proficiency in machine learning frameworks and artificial intelligence fundamentals.
- Advanced expertise in data analysis, data science, and data mining techniques.
- Strong programming skills for developing and optimizing data-driven solutions.
- Experience in predictive modeling, statistical analysis, and working with large-scale structured and unstructured datasets.
- Demonstrated ability to develop and implement visualizations, dashboards, and data communication tools.

Preferred Qualifications
- Strong communication skills to effectively present complex insights to diverse stakeholders.
- Demonstrated ability to work collaboratively in cross-functional teams, contributing to shared goals.
- A proactive and innovative mindset, with a passion for solving complex business problems through data-driven approaches.
- Active GitHub profile demonstrating:
Personal or collaborative software projects
Experience with Python or similar languages
Exposure to:
Generative AI / LLM-based systems
Prompting or basic agent development concepts

Strong problem-solving ability and willingness to work on applied engineering problems

Your expertise will help us unlock the potential of data to drive innovation, enhance decision-making, and deliver exceptional solutions. Join us to make a difference in shaping the future of technology.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Oregon, Hillsboro

Additional Locations:

Business group:

Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.

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: $161,550.00-228,070.00 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.

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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.