Senior Statistical Modeler: ML/AI in Production Systems

LexisNexis Risk Solutions FL Inc. Company; Minnesota; Hybrid; USD 105,000 - 175,000; Full time

Benefits offered by this job

Annual incentive bonus

Job summary

LexisNexis Risk Solutions is seeking a Sr Statistical Modeler to develop and implement analytics and AI solutions across the modeling lifecycle. This role independently executes complex analyses and translates problem statements into scalable machine learning solutions in production systems.

Collaborate with engineering, product, and platform teams, communicating insights clearly to technical and non-technical stakeholders. A Master’s degree is commonly required, with deep DS and ML experience.

Qualifications

• Proven data science experience with real-world ML applications.
• Hands-on experience developing, evaluating, and iterating predictive models.
• Experience evaluating model performance with statistical and ML metrics.
• Experience with structured and unstructured data at scale.
• Proficiency in Python and/or R with common libraries.
• Experience with SQL and cloud-based data platforms.
• Experience deploying data science workloads in AWS/Azure.
• Exposure to modern AI frameworks and LLM-based workflows.
• Ability to translate complex analytics into actionable insights.
• Clear, effective communication for non-technical audiences.

Responsibilities

• Apply statistical and ML methods to manage and analyze diverse data sources.
• Develop and maintain infrastructure connecting internal data sets.
• Recognized expert within the function and mentor others.
• Interprets business issues and recommends best practices to improve products, processes or services.
• Works independently, with guidance in complex situations.
• Trains/mentors junior staff and serves as an expert for clients.
• Interprets internal/external business challenges and translates to data solutions.

Skills

Data science

Statistical modeling

Machine learning

Communication

Problem solving

Education

Master’s degree in a related discipline

Tools

Python

R

SQL

AWS

Azure

PyTorch

XGBoost

Job description

LexisNexis Risk Solutions is seeking a Sr Statistical Modeler to develop and implement analytics and AI solutions across the modeling lifecycle. This role independently executes complex analyses and translates problem statements into scalable machine learning solutions in production systems.

Collaborate with engineering, product, and platform teams, communicating insights clearly to technical and non-technical stakeholders. A Master’s degree is commonly required, with deep DS and ML experience.