Senior AI Data Analyst
Role details
Job location
Tech stack
Job description
AI & Advanced Analytics
- Design, build, and deploy machine learning models, predictive analytics solutions, NLP tools, and AI-driven automation
- Lead full lifecycle model development: data acquisition, feature engineering, training, validation, deployment, and monitoring
- Apply responsible AI practices to ensure fairness, explainability, and transparency
Data Strategy & Governance
- Maintain data quality standards, metadata practices, and model documentation
- Partner with IT and cybersecurity teams to ensure secure handling of sensitive data
- Support development of AI governance, ethics frameworks, and model risk management processes
Stakeholder Collaboration
- Identify opportunities to leverage AI to improve operations and service outcomes
- Communicate complex findings into clear, actionable insights for executive leadership
- Provide mentorship and technical guidance to analysts and cross-functional teams
Reporting & Visualization
- Develop dashboards, reports, and visualizations to track KPIs, trends, and forecasts
- Build and maintain Business Intelligence solutions (e.g., Power BI)
- Integrate AI-driven insights into reporting for real-time decision-making
Requirements
Do you have experience in Technical Proficiency?, Do you have a Bachelor's degree?, This role plays a critical part in modernizing operations through responsible use of AI, improving service delivery, increasing efficiency, and supporting evidence-based decision-making. The ideal candidate blends strong technical expertise with the ability to translate complex insights into actionable strategies for leadership and stakeholders., * Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (Master's preferred)
- 5+ years of experience in data analytics, data science, or AI/ML roles
- Hands-on experience with machine learning model development and deployment
- Proficiency in Python, SQL, and data visualization tools (Power BI, Tableau, or similar)
- Experience with NLP, predictive modeling, or automation solutions
- Strong understanding of data governance, model validation, and performance metrics (e.g., MAE, F1, AUROC)
- Excellent communication skills with ability to present technical insights to non-technical audiences, * Experience working with large, complex datasets in regulated environments
- Familiarity with MLOps, model monitoring, and lifecycle management
- Exposure to geospatial analytics, LLMs, or advanced AI frameworks
- Experience implementing responsible AI or ethical AI frameworks
What You'll Deliver
- Production-level AI solutions improving internal workflows or customer-facing services
- Executive-facing dashboards with near real-time insights
- Established data quality standards and governance practices
- AI governance workflows including bias testing, documentation, and monitoring
- Scalable processes for cross-functional AI project delivery
Pay: $52.00 - $54.00 per hour
Experience:
- building and deploying machine learning or AI models: 3 years (Required)
Benefits & conditions
3.73.7 out of 5 stars Houston, TX 77092 $52 - $54 an hour - Contract