Jobs / United States / Intel Corporation

Intel Corporation

Data Scientist

3 Locations Posted today

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Skills this job asks for

Machine learningA/B testingStatisticsDeep learningPythonCommunication

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 1,731 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Intel Corporation paid sponsored hires in similar roles33 certified filings for “Data Scientist” (Statisticians) in OR: $130k–$130k, median $130k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 1,731 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Intel Corporation paid sponsored hires in similar roles
33 certified filings for “Data Scientist” (Statisticians) in OR: $130k–$130k, median $130k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Job Details: Job Description: Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.   Join us and build on our legacy of innovation and collaboration as we deliver world‑changing technology that improves the life of every person on the planet.   Life at Intel: https://jobs.intel.com/en/life-at-intel   The Role and Impact : 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, and 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

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