Senior Data Analyst- AI
$33 per hourThe Reserves Network Inc
Job Description
Job Description
Senior Data Analyst - AI |$|8am – 5pm / Day Shift / Hybrid / One year C ontract /Hybrid
What Matters Most
- Competitive Pay of $33.00 per hour
- Schedule: Mon – Fri / 8:00 am – 5:00 pm
- Location: Houston, TX 77002
- Contract with career growth and opportunity
- Weekly Pay with direct deposit or pay card
- When you work through The Reserves Network, you are eligible to enroll in dental, vision, and medical insurance as well as 401K, direct deposit, and our referral bonus program
Job Description
Our client is seeking a Senior Data Analyst (AI) lead the development, deployment, and governance of advanced analytics and artificial intelligence solutions that drive data-informed decision-making across local government.
Role and Responsibilities:
- Develop machine learning models, predictive analytics solutions, natural language processing (NLP) tools, and AI-powered automations.
- Lead end-to-end model development, including: Data acquisition, Feature engineering. Model training and validation, deployment and monitoring.
- Apply Responsible AI principles to ensure fairness, transparency, explainability, accountability, and compliance.
- Establish and maintain data quality standards, metadata management practices, and comprehensive model documentation.
- Partner with Information Technology and Cybersecurity teams to ensure secure handling of sensitive and regulated data.
- Support the development and implementation of: AI ethics guidelines, Model risk management frameworks.
- Identify opportunities to leverage AI and analytics to improve service delivery, reduce operational costs, and enhance community outcomes.
- Translate complex analytical findings into actionable business insights for executive leadership and non-technical stakeholders.
- Provide mentorship, coaching, and technical guidance to analysts and departmental partners.
- Design and develop dashboards, automated reports, and data visualizations that communicate trends, forecasts, key performance indicators (KPIs), and operational metrics.
- Integrate AI-generated insights into reporting environments to support real-time decision-making and operational readiness.
- Develop and maintain business intelligence solutions, including Power BI dashboards, to support transparency, executive reporting, and organizational performance management.
Qualifications:
- Bachelor's Degree in one of the following: Data Science, Computer Science, Information Systems and or Engineering preferred.
- 7+ years analytics experience
- Python, SQL, Power. ML forecasting Models, GenAI solutions using Azure.
- Experience with governance, compliance, and model documentation
- Advance SQL
Benefits and Perks:
- $33 per hr
- Medical Benefits via agency
- Holidays
- Training & Growth
Your New Organization:
Our client is a large, well-established public sector organization based in Houston. They provide essential services that support the daily operations and infrastructure of one of the nation’s largest metropolitan areas. The organization is known for managing complex, enterprise-level systems and initiatives, with a strong focus on operational efficiency, regulatory compliance, and continuous improvement across departments.
Your Career Partner:
The Reserves Network, a veteran-founded and family-owned company, specializes in connecting exceptional talent with rewarding opportunities. With extensive industry experience, we are dedicated to helping you achieve your professional goals and shine in your field. The Reserves Network values diversity and encourages applicants from all backgrounds to apply. As an equal-opportunity employer, we foster an environment of respect, integrity, and trust in every aspect of employment. The base pay range for this position is $33 per/hr, excluding benefits, bonuses, or other compensation. Your final compensation will depend on your skills, qualifications, experience, location, and internal pay equity. Please note, hiring at the top of the range is uncommon to allow room for future growth.
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