Remote Senior Statistical Modeler for ML & AI Solutions

Brightmine; United States; Remote; USD 105,000 - 175,000; Full time

Benefits offered by this job

Annual incentive bonus

Job summary

LexisNexis Risk Solutions seeks a Sr Statistical Modeler to design and deploy analytics and AI solutions across risk, fraud, and identity verification domains. You will translate complex problems into scalable models and work with engineering and product teams to operationalize them.

The role emphasizes hands-on ML, productionization, and stakeholder communication in a remote US-wide setting, with competitive base pay and annual incentive eligibility.

Qualifications

• Master's degree in a related discipline; advanced academic credentials may substitute for part of the experience.
• Solid data science experience applying ML/statistical techniques to real-world problems.
• Hands-on model development, evaluation, and iteration across the modeling lifecycle.
• Experience deploying models in production and communicating results to diverse stakeholders.

Responsibilities

• Apply statistical, mathematical, and ML methods to build scalable analytics solutions.
• Develop and maintain data infrastructure connecting internal datasets.
• Mentor junior staff and translate insights for non-technical audiences.
• Collaborate with engineering and product teams to productionize models.

Skills

Data science

Machine learning

Communication

Education

Master's degree in a related field

Tools

Python

R

SQL

Pandas/NumPy/Scikit-learn

XGBoost/PyTorch

AWS/Azure

Job description

LexisNexis Risk Solutions seeks a Sr Statistical Modeler to design and deploy analytics and AI solutions across risk, fraud, and identity verification domains. You will translate complex problems into scalable models and work with engineering and product teams to operationalize them.

The role emphasizes hands-on ML, productionization, and stakeholder communication in a remote US-wide setting, with competitive base pay and annual incentive eligibility.