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GenAI Data Scientist

Mindlance

CHARLOTTE, NC

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JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Business Intelligence Software, Business Model, Consulting, Cross-Functional, Data Analysis, Data Modeling, Data Science, Data Sets, Documentation, Experiment Design, Large-Scale Systems, Metrics, Performance Metrics, Performance Modeling, Performance Tuning/Optimization, Product Engineering, Python Programming/Scripting Language, Quality Metrics, Regulatory Compliance, Reporting Dashboards, SQL (Structured Query Language), System Architecture, Training Data Sets, Trend Analysis
LOCATION
CHARLOTTE, NC
POSTED
30+ days ago
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:
  • 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
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

About the Company

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Mindlance

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