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Psl Scale For Modeling Jobs in Dallas, TX (NOW HIRING)

Data Modeler

Dallas, TX · On-site

$54.25 - $70.25/hr

... modeling. * Experience with data visualization tools (Power BI, Tableau). * Exposure to CI/CD pipelines for database deployments. * Experience with retail or enterprise-scale applications.

Establish rules for modeling practices, coordinate systems, naming conventions, levels, and family ... Exposure to SAFe or scaled Agile environments. * Familiarity with different authoring tools

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RF Modeling Manager

Richardson, TX · On-site

$140K - $170K/yr

Our solutions foster the collaboration that's critical for safer communities, safer schools, safer ... Experience deploying algorithms to real-time, enterprise-scale systems with tight latency ...

BI Architect

Prosper, TX · On-site

$60 - $70/hr

PSL-US211278_1-46-1 Rate: Depends on Experience Must have: Strong Power BI, Paginated Reports, Dax ... Cognos Role Overview The BI Architect is responsible for designing, developing, and implementing ...

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Psl Scale For Modeling information

See Dallas, TX salary details

$10.9K

$104.4K

How much do psl scale for modeling jobs pay per year?

As of Aug 10, 2026, the average yearly pay for psl scale for modeling in Dallas, TX is $96,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $103,900.00 per year, depending on experience, location, and employer.
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Infographic showing various Psl Scale For Modeling job openings in Dallas, TX as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $96,120 per year, or $46.2 per hour.

Senior Modeling Lead - Banking

Inizio Partners

Dallas, TX

Full-time

Re-posted 21 days ago


Job description

Position: SENIOR MODELING LEAD

YEARS OF EXPERIENCE: 9-10+ YEARS

Location: Plano, TX & San Antonio, TX

Position Overview

We are seeking a Senior Modeling Lead to provide strategic and technical oversight across multiple AI/ML workstreams. In this role, you will direct a team of data scientists / modelers through full model development lifecycle, ensure consistency in modeling standards and governance practices, and serve as primary liaison between technical teams and senior stakeholders. Ideal candidate brings 9-10+ years of modeling experience and a proven ability to operate effectively at both strategic and technical levels.

Key Responsibilities

  • Provide strategic and technical leadership across multiple AI/ML modeling workstreams, ensuring alignment with business
  • Oversee full model lifecycle across all workstreams — including development, validation, independent assessment, performance optimization, monitoring, documentation, and governance.
  • Establish and enforce consistent modeling standards, methodology frameworks, explainability practices, and bias testing protocols across team.
  • Act as a primary escalation point for model risk, governance issues, technical challenges, partnering with risk, compliance as needed.
  • Lead model review and approval processes, ensuring all models meet internal governance requirements and applicable regulatory standards.
  • Translate complex modeling outcomes and technical findings into clear, actionable insights for executive and non-technical stakeholders.
  • Drive evaluation and adoption of emerging AI/ML tools, platforms, and methodologies, providing evidence-based recommendations to leadership.
  • Recruit, mentor, and develop a high-performing team of senior and mid-level modelers, fostering a culture of technical rigor and continuous improvement.
  • Define team's long-term analytical roadmap, balancing innovation with BAU delivery.
  • Collaborate cross-functionally with data engineering, technology, operations, and business teams to align modeling solutions with broader organizational objectives.

Qualifications & Experience

  • 10+ years of progressive experience in quantitative modeling, data science, or applied AI/ML, with at least 3 years in a team leadership or senior technical lead capacity.
  • Broad expertise across multiple modeling domains, such as predictive analytics, NLP, optimization, or AI platform evaluation.
  • Strong proficiency in Python; familiarity with modern AI/ML frameworks, MLOps tooling, and large-scale data platforms.
  • Deep understanding of end-to-end model lifecycle, including model risk management, validation frameworks, and regulatory expectations.
  • Proven ability to lead and develop cross-functional modeling teams in a fast-paced, delivery-oriented environment.
  • Experience engaging with model risk, audit, compliance, or regulatory stakeholders, and navigating governance and approval processes.
  • Exceptional communication skills & ability to present complex technical concepts clearly to stakeholders.
  • Track record of driving adoption of emerging AI/ML technologies in a structured manner.
  • Advanced degree (Master's or PhD) in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline preferred.