GenAI Data Scientist

GenAI Data Scientist

Location:
Hybrid remote in Charlotte, NC 28277 (Local Only)

Client: Wells Fargo

Only W2

No C2C/1099 | Candidate with Employers please do not apply

Job Descriptions:

• In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Systems Architecture
• Review and analyze complex multi-faceted, larger scale or longer-term Systems Architect 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

Required Qualifications:

10+ years overall

• 5+ years of Systems Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
• The GenAI Data Scientist supports GenAI initiatives through advanced analytics, model evaluation, and data exploration.
• This role works with large and complex datasets to inform model behavior, performance, and business impact, partnering closely with engineering and product teams.

Key Responsibilities (R&R):

• Analyze large and complex datasets to identify patterns, trends, and anomalies.
• Support GenAI model development, evaluation, and performance tuning.
• Design and execute experiments to assess model behavior and outcomes.
• Develop metrics to measure model quality, bias, and business impact.
• Partner with product and engineering teams to inform feature and model decisions.
• Create analytical outputs and visualizations for stakeholders.

Key Deliverables:

• Data analyses and insight reports
• Model evaluation and performance metrics
• Experiment design and results documentation
• Dashboards and visualizations
• Recommendations to improve model outcomes and business value

Required Technical Skills:

• Hands on experience with LLMs and GenAI concepts
• Python (data analysis, ML libraries)
• SQL and data manipulation at scale
• Advanced analytics and BI tools
• Experience with model evaluation and experimentation

Required Competencies:

• Strong analytical and critical thinking
• Curiosity and hypothesis driven mindset
• Ability to explain complex findings clearly
• Collaboration with cross functional teams
• Ethical and responsible AI awareness