Data Scientist II

Bio-Rad LaboratoriesIrvine, CA
Onsite

About The Position

We are looking for a Data Scientist II to support analytics, machine learning, and AI development work within the Global Supply Chain organization. This role focuses on building and supporting data science models that are used in operational settings. You will work with other data scientists and domain experts to analyze data, develop models, and support their deployment into production.

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Mathematics, Engineering or a related field.
  • 3+ years of experience with a Master’s or PhD, or 5+ years of experience with a Bachelor’s degree.
  • Strong experience using Python for data analysis and machine learning.
  • Strong communication skills and experience working across product, engineering, and business teams.
  • Solid understanding of statistical methods and machine learning models.
  • Experience with databases and querying.
  • Experience with data visualization tools and dashboarding (Power BI, Dash, Streamlit, Plotly, Seaborn, Matplotlib).
  • Experience working with AWS or similar cloud platforms.
  • Experience supporting models in production.

Nice To Haves

  • Experience in a diagnostics or healthcare environment is preferred.
  • Familiarity with Gen AI frameworks is a plus.
  • Familiarity with Snowflake.

Responsibilities

  • Build and support machine learning models used in existing business workflows.
  • Work effectively with cross functional teams.
  • Help ensure models are reliable and suitable for production use.
  • Maintain good engineering and coding practices.
  • Contribute to cloud based data science solutions.

Benefits

  • competitive medical plans for you and your family
  • free HSA funds
  • a new fertility offering with stipend
  • group life and disability
  • paid parental leave
  • 401k plus profit sharing
  • an employee stock purchase program
  • a new upgraded and streamlined mental health platform
  • extensive learning and development opportunities
  • education benefits
  • student debt relief program
  • pet insurance
  • wellness challenges and support
  • paid time off
  • Employee Resource Groups (ERG’s)
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