Voto Consulting LLC
AI Data Scientist W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Scientist based in Charlotte, NC, for a 6-month W2 contract. Key skills include LLMs, Python, SQL, and advanced analytics. Requires 5+ years in Systems Architecture and expertise in model evaluation and experimentation.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 26, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#BI (Business Intelligence) #Data Manipulation #Data Analysis #Data Science #Compliance #Consulting #Libraries #Documentation #Model Evaluation #Visualization #ML (Machine Learning) #Python #SQL (Structured Query Language) #Data Exploration #Datasets #R #AI (Artificial Intelligence)
Role description
Job Title: AI Data Scientist
Location: Charlotte, NC
Duration: 6 months
MOI: Face 2 Face
W2 Role
Visa: US Citizen or Green Card
Description:
• 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.
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:
• 5 plus years of Systems Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
Job Title: AI Data Scientist
Location: Charlotte, NC
Duration: 6 months
MOI: Face 2 Face
W2 Role
Visa: US Citizen or Green Card
Description:
• 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.
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:
• 5 plus years of Systems Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
