Senior Data Scientist - Lead Production ML & Optimization

HRize LLC; Corpus Christi (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

HRize LLC is seeking a senior technical lead to architect and deliver high-impact data and software solutions. You will guide problem definition, design, and implementation while collaborating with Data Science and Software Engineering teams to ensure scalable results.

The role emphasizes independent leadership, rigorous decision-making and the ability to translate complex technical work into measurable business outcomes for non-technical stakeholders.

Qualifications

• 10+ years of industry experience demonstrated by impact on business from technical solutions.
• Proven ability to independently lead and deliver complex technical solutions from problem definition through implementation.
• Hands-on experience in optimization and physics-based modeling.
• Active user of AI-assisted development tools (e.g., GitHub Copilot, Claude) for coding, debugging, documentation, and prototyping.
• Experience working on cross-functional teams spanning Data Science and Software Engineering.
• Experience delivering production systems, deployed models, or shared technical solutions.
• Strong technical decision‑making, solution architecture, and execution skills.
• Excellent communication skills with the ability to explain complex technical projects to non-technical business audiences.
• Proven track record of delivering measurable business outcomes through technical work.

Skills

Industry experience

Independent leadership

Optimization

Physics-based modeling

AI-assisted tools

Cross-functional teams

Production systems delivery

Technical decision-making

Non-technical communication

Measurable business outcomes

Tools

AI tools (GitHub Copilot, Claude)

Job description

HRize LLC is seeking a senior technical lead to architect and deliver high-impact data and software solutions. You will guide problem definition, design, and implementation while collaborating with Data Science and Software Engineering teams to ensure scalable results.

The role emphasizes independent leadership, rigorous decision-making and the ability to translate complex technical work into measurable business outcomes for non-technical stakeholders.