Machine Learning Engineer Specialist

1 week ago


Long Beach, California, United States SCAN Full time
About SCAN

At SCAN, we believe in making a positive impact on our members and community. As a non-profit organization, we are dedicated to providing innovative healthcare solutions to older adults. Our team is passionate about supporting seniors on their aging journey while innovating healthcare for all.

The Job

We are seeking an experienced Machine Learning Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining advanced analytics environments to solve complex business challenges. This role requires close collaboration with Data and Analytics leadership to develop strategies and oversee architectural designs for Advanced Analytics, Big Data, and Machine Learning.

Key Responsibilities:
  • Designing and implementing machine learning architectures to improve enterprise analytics systems reliability, availability, and serviceability.
  • Collaborating with internal and external partners to ensure technology decisions align with the enterprise architecture framework.
  • Maintaining knowledge of current and emerging technologies, products, and trends in advanced analytics solutions.
  • Ensuring alignment of data analytics solutions with business and IT goals/objectives.
Benefits:
  • A competitive salary range of $106,200 to $169,900 annually.
  • An annual employee bonus program.
  • Robust wellness programs.
  • Generous paid-time-off.
  • Excellent 401(k) Retirement Saving Plan with employer match.
Requirements:

We require a minimum of 7 years of experience in machine learning and data science, with at least 3 years of experience in machine learning solution architecture. You should have hands-on experience with modern data warehousing in the cloud, Snowflake, SnowSQL, Azure Data Factory, Databricks, Snowpark, PySpark, Azure DevOps, Azure Fabric, Power BI, SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, NLP, and Scikit-Learn. Familiarity with CI/CD pipelines and version control (Git) is also required.



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