Senior Model Developer 1

Insight2Profit•Chicago, IL

About The Position

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.

Requirements

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

Nice To Haves

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

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.
Support the organization’s commitment to information security, confidentiality, and system reliability.
Follow 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.