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Energy Data Science Jobs in Arizona (NOW HIRING)

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated ...

Senior Data Scientist Company: Norstella Location: Remote, United States Date Posted: May 11, 2026 ... energy) * Graduate degree in Computer Science, Engineering, Statistics or a related quantitative ...

Analyzes, interprets, or creates graphical representations of energy data, using engineering ... Bachelor's Degree in Mechanical Engineering or related fields like Construction Science ...

Analyzes, interprets, or creates graphical representations of energy data, using engineering ... Bachelor's Degree in Mechanical Engineering or related fields like Construction Science ...

Complete detailed and accurate data collection and measurements and enter the data in the program ... Understanding of building science applications or construction background * Bilingual English ...

Complete detailed and accurate data collection and measurements and enter the data in the program ... Understanding of building science applications or construction background * Bilingual English ...

GenAI Solutions Architect - SFL Scientific

Tempe, AZ · On-site

$60.25 - $79.50/hr

... data science & AI career. Recruiting for this role ends on 5/31/2026. Work You'll Do As a GenAI ... energy, and other industries. Join us at SFL Scientific to expand your technical acumen through the ...

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Energy Data Science information

What is the difference between Energy Data Science vs Energy Analyst?

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

What are popular job titles related to Energy Data Science jobs in Arizona? For Energy Data Science jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Energy Data Science jobs? Cities in Arizona with the most Energy Data Science job openings:
Infographic showing various Energy Data Science job openings in Arizona as of May 2026, with employment types broken down into 10% Internship, 72% Full Time, and 18% Part Time. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.
Sr. Manager AI & Data Science

Sr. Manager AI & Data Science

onsemi

Scottsdale, AZ • On-site

Full-time

Posted 9 days ago


Onsemi rating

8.0

Company rating: 8.0 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Job Description
Sr. Manager AI & Data Science
We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions across onsemi's global operations. This role will be responsible for building and scaling the core AI and ML platforms, managing cross-functional initiatives, and ensuring responsible AI governance in alignment with onsemi's policies. You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to accelerate AI/ML adoption to deliver business value.
We're looking for a hands-on leader who thrives at the intersection of strategy and execution. As a player-coach, you'll be deeply involved in the technical details-guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning, Databricks, and MLflow. Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases will be instrumental in driving innovation.
But your true impact will come from leadership. You'll foster a high-performance culture rooted in technical excellence, accountability, and clarity. By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious AI roadmaps into scalable, production-ready solutions that power onsemi's digital transformation.
Responsibilities
  1. Provide Technical Leadership: Steer the team through critical architectural decisions spanning the full AI/ML stack-from foundational infrastructure like model registries, CI/CD pipelines, and feature stores, to advanced orchestration and observability frameworks for LLMs using tools such as LangGraph, MLflow, Azure ML, and Databricks.
  2. Collaborate with business domain managers to define product requirements and identify AI opportunities.
  3. Oversee data science project lifecycles, from ideation to production, ensuring alignment with business goals and technical feasibility.
  4. Ensure compliance with onsemi's Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use.
  5. Partner with IT, data engineering, and business teams to ensure end to end project delivery & execution.
  6. Mentor and grow a team of AI, data scientists and machine learning engineers.
  7. Represent the AI function in executive forums and cross-functional steering committees.

Qualifications
Requirements:
  • Master's or PhD in Computer Science, Data Science, Statistics, or a related field.
  • 10-15 years of experience in AI/data science, with at least 5 years in a leadership role.
  • Proven experience deploying AI/ML solutions in production environments.
  • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
  • Excellent communication and stakeholder management skills.
  • Experience in semiconductor, manufacturing, or industrial domains is a plus.

Preferred Knowledge and Experience:
  • Semiconductor industry experience.
  • Experience with tools like Databricks, Azure ML, and Snowflake.
  • Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
  • Understanding of AI security and compliance frameworks.

Competencies:
  • Self-motivated, able to multitask, prioritize, and manage time efficiently
  • Strong problem-solving skills
  • Data analysis skills. Ability to analyze complex data and turn it into actionable information
  • Collaboration and teamwork across multiple functions and stakeholders around the globe
  • Flexibility and adaptability
  • Process management / process improvement
  • Drive for results, Able to work under pressure and meet deadlines

About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

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