Data Scientist

2 months ago


Chandler, United States Wells Fargo Full time

**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)


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