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Data Scientist

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.

We are looking for a Data Scientist to help grow onsemi’s Advanced Analytics capabilities. This is an opportunity to impact a growing, $8B+ enterprise that recognizes the need to leverage modern data technologies and methods to help solve critical business problems. You will join a team responsible for advanced analytics and data science across all business functions in the company including Sales, Marketing, Pricing, Supply Chain, Manufacturing and Product Lines.

You will work with other Data Scientists and Analysts through all phases of the Data Science life cycle: problem definition, exploratory analysis, model creation, validation, deployment, monitoring and performance measurement.

Duties and Responsibilities:

  • Execute all aspects of the Data Science process using Python and various services available in Microsoft Azure (Azure ML, Databricks) and Snowflake:

o Query and clean datasets
o Explore datasets and make observations
o Feature engineering, model selection
o Model tuning, model validation
o Deployment using cloud services
o Monitoring performance and drift

  • Improve risk analysis simulations using existing predictive models and Monte Carlo simulations.
  • Build dashboards in Tableau to help Data Scientists and Analysts solve problems in their areas.

Qualifications

  • Completed a degree in data science, business analytics, engineering, artificial intelligence, information systems, applied/traditional statistics, mathematics, computer science, computer engineering, information technology, or a related field.
  • Proven experience (3+ years) as a Data Scientist preferably in business operations areas like Sales, Marketing, Pricing, Supply Chain or Manufacturing.
  • Experience with data frames, pandas and data cleansing in Python or similar languages.
  • Experience with SQL queries to retrieve data from relational databases.
  • Experience with software development practices like unit tests, Git, CICD.
  • Familiarity with modeling techniques like logistic regression, decision trees, time-series forecasting, deep-learning, and computer vision.
  • Familiarity with probability distributions and risk analysis simulation techniques like Monte Carlo.
  • Familiarity with Language Models (LLMs), prompt engineering, search indexes and chatbots.

#LI-MY1

#LI-Onsite


Equal Employment Opportunity
onsemi is an Equal Opportunity and Affirmative Action employer. The Company maintains policies and practices that are designed to prevent discrimination or harassment against any qualified applicant or employee to the extent prohibited by federal, state and local laws and regulations. By way of example, discrimination on the basis of race (actual or perceived), ethnicity, color, religion, ancestry, national origin, citizenship, sex, age, marital status, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other characteristic protected by applicable law is prohibited.

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 US.HR@onsemi.com for assistance.


Primary Location: United States-AZ-Scottsdale
Job: Engineering
Travel: No
Job Posting: Jul 19, 2023, 12:59:38 PM

We will push innovation to create intelligent power and sensing technologies that solve the most challenging customer problems. Our employees are inspired each day to increase stakeholder value through high-quality and high-value products and serv...

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DATE POSTED
July 21, 2023

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