Data Scientist jobs in Gilbert, AZ

Title: Data Scientist

Location:

Phoenix, AZ

Des Moines, IA

Alternative Locations:

Charlotte, NC

Minneapolis, MN

San Antonio, TX

Duration: 12 months

Work Engagement: W2

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Quantitative Analytics Review and analyze complex multi-faceted, larger scale or longer-term Quantitative Analytics challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables Strategically collaborate and consult with Client personnel.

Responsibilities:

• Leads or assists on end-to-end model build efforts from discovery to deployment.
• Performs pre-/post-model testing, including explain ability, robustness, fairness testing, etc.
• Communicates project progress and obstacles.
• Shepherds model from discover to deployment including post-validation activities.
• Conducts ongoing monitoring and reviews.

Qualifications:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Experience with SAS, Teradata, Python, PySpark, SQL.
• Machine Learning (ML), Natural Language Processing (NLP) and Large Language Model (LLM) experience.
• Model development and validation documentation experience.
• Excellent communication skills and ability to articulate complex material to a diverse audience.
• Prior experience working in regulated industries or at enterprise level corporations.
• Statistical Analysis experience (Preferred)
• Bachelor's degree in Engineering and/or Statistics. (Preferred)
• Experience in Complaints Data. (Preferred)
• Data science and/ or Quantitative Analytics (Preferred)