JOB SUMMARY

Lead model architecture design and advanced statistical implementation while driving pricing strategy and methodology across multiple client engagements. Senior Model Developer I roles architect scalable, high-performance pricing model solutions using the Calc 2.0 framework, establish technical standards for model development, and mentor developers across experience levels.

MAJOR RESPONSIBILITIES

• Architect scalable, high-performance model solutions and establish technical standards for model development.
• Drive implementation of advanced pricing strategies and optimization algorithms across multiple client engagements.
• Lead statistical validation frameworks and implement advanced ML algorithms for pricing optimization.
• Design and optimize complex data integration patterns and establish performance standards for production models.
• Lead cross-functional technical initiatives and coordinate with Data Science Group on advanced analytics approaches.
• Establish model development best practices, documentation standards, and quality assurance frameworks.
• Mentor multiple developers across different experience levels and drive technical skill development.
• Contribute to business development by providing technical expertise in pricing methodology and model capabilities.
• All team members are expected to support the organization’s commitment to information security, confidentiality, and system reliability. This includes following established policies and procedures, safeguarding sensitive and client information, reporting potential security concerns, and supporting incident response or business continuity efforts as needed.
• Additional responsibilities as needed to support team and business priorities.

JOB REQUIREMENTS

Education      

Minimum:        Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline.

Preferred:         Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.

Work Experience      

Minimum:       

• 6+ years of professional Python development experience, including production model or analytics systems.
• Demonstrated experience leading technical implementation across multiple concurrent projects.
• Experience mentoring and providing code review across experience levels.

      Preferred:        

• Experience contributing to framework, platform, or shared library development used by other engineering teams.
• Hands-on experience with pricing models, statistical modeling, or quantitative analytics in a business context.
• Consulting or client-facing experience translating business pricing requirements into technical solutions.
• Track record of establishing development standards, best practices, or technical roadmaps within an organization.

Required Skills, Knowledge, and Abilities            

Minimum:       

• Expert-level Python programming with deep understanding of performance optimization, advanced design patterns, and scalable architectures.
• Deep expertise in pricing strategy, advanced optimization techniques, dynamic pricing, and complex business rule implementation.
• Advanced statistical modeling including multivariate analysis, advanced ML algorithms, model validation, and statistical inference.
• Expert knowledge of data architecture, complex data integration patterns (Cosmos DB, SQL), and production data pipeline optimization.
• Experience with solution architecture patterns, scalable system design, and performance monitoring frameworks.
• Strong understanding of Azure cloud architecture, advanced security patterns, and enterprise deployment strategies.
• Ability to translate complex business requirements into technical solutions and drive technical decision-making.
• Proficiency with Git, GitHub Workflows, and CI/CD practices for production model deployment.

    Preferred:        

• Experience with Kedro, Databricks, or comparable data engineering frameworks at production scale.
• Familiarity with emerging ML/AI platforms and modern analytics tooling relevant to pricing and optimization.
• Experience driving cross-team technical initiatives or contributing to enterprise architecture decisions.
• Public speaking, technical writing, or thought-leadership experience in pricing, ML, or data science communities.
• Demonstrated ability to coach Model Developer I/II engineers toward promotion-ready performance.

Compensation: The annual salary range for this position is $120,000 - $145,000, commensurate with skills and relevant experience. Employees may also be eligible to participate in the annual discretionary bonus program.

Benefits & Dynamic Rewards: Enjoy industry-leading benefits and programs designed to enhance wellness and support work-life harmony.  Specifically, we offer a comprehensive benefits package including medical, dental and vision coverage (available from your start date), a 401(k) plan with company contribution, generous paid time off, and a range of professional development opportunities including a tuition reimbursement program. Eligible employees may also participate in annual merit increases and long-term incentive program.

The purpose of this document is to describe the general nature and level of work performed by team members classified in this role; it is not intended to serve as an inclusive list of all responsibilities associated with the position.