Website Mindlance
Mindlance
Company : Mindlance
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.”