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Salary
≈ $118k – $262k per year (Estimated)
Location
In office (Scottsdale)

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 27, 2026. onsemi scores B on the Alion truth index.

Overview
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Impact
Profile match
Onsemi is an American semiconductor company that was spun out of Motorola in 1999 and has since narrowed itself from a broad commodity chip supplier into a focused power and sensing business. Its silicon carbide and silicon power devices go into electric vehicle traction inverters, chargers and industrial drives, while its image sensors are used in automotive cameras and industrial vision, and it has deliberately exited lower-margin product lines to concentrate on these markets. Headquartered in Scottsdale, Arizona and listed on Nasdaq, it owns its own silicon carbide substrate manufacturing to secure supply.

We are seeking a motivated and curious Junior AI and Data Science Engineer to join our growing team. In this role, you will support the development and deployment of machine learning models, contribute to data analysis projects, and help build intelligent systems that drive business insights and innovation.

This is an excellent opportunity for early-career professionals who are passionate about AI, machine learning, and data science, and are eager to grow their skills in a collaborative and fast-paced environment.

. Assist in designing, developing, and deploying machine learning models and AI solutions.

· Perform data cleaning, preprocessing, and exploratory data analysis (EDA).

· Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.

· Support the development of data pipelines and model monitoring systems.

· Document processes, models, and findings clearly and concisely.

· Stay up to date with the latest trends and advancements in AI and data science

· Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

· Proven experience deploying AI/ML models in production environments.

· Proficiency in Python (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch).

· Familiarity with SQL and data visualization tools (e.g., Matplotlib, Seaborn, Power BI).

· Understanding of machine learning concepts and statistical analysis.

· Strong problem-solving skills and attention to detail.

· Excellent communication and teamwork abilities.

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