Stier Solutions Inc
LLM & GenAI Data Scientist - W2 Role
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an LLM & GenAI Data Scientist on a W2 contract for 6 months, paying $65.00 - $68.00 per hour. Required skills include LLMs, GenAI, Python, SQL, and advanced analytics. A minimum of 5 years in Systems Architecture is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
544
-
🗓️ - Date
March 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
-
🧠 - Skills detailed
#Model Evaluation #Compliance #Libraries #AI (Artificial Intelligence) #Documentation #Data Exploration #Consulting #Data Science #Python #R #ML (Machine Learning) #Visualization #Data Manipulation #Datasets #Data Analysis #BI (Business Intelligence) #SQL (Structured Query Language)
Role description
Job 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
Pay: $65.00 - $68.00 per hour
Expected hours: 40.0 per week
Application Question(s):
- Are you an independent candidate?
- How many years of experience with both (LLMs and GenAI) concepts?
- How many years of experience with Python (data analysis, ML libraries)?
- How many years of experience with SQL and data manipulation?
Work Location: On the road
Job 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
Pay: $65.00 - $68.00 per hour
Expected hours: 40.0 per week
Application Question(s):
- Are you an independent candidate?
- How many years of experience with both (LLMs and GenAI) concepts?
- How many years of experience with Python (data analysis, ML libraries)?
- How many years of experience with SQL and data manipulation?
Work Location: On the road
