Senior Data Scientist – ML & AI in Production (Remote)

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

Benefits offered by this job

Annual incentive bonus

Remote work

Job summary

LexisNexis Risk Solutions is seeking a Sr Statistical Modeler to develop and deploy analytics and AI solutions that support business objectives. You will independently execute complex modeling, translate problems into scalable ML pipelines, and collaborate with engineering and product teams to productionize models.

The role emphasizes hands-on modeling, cloud-based data workflows, and the ability to explain technical concepts to non-technical stakeholders.

Qualifications

• Master’s degree or higher in a quantitative field.
• Strong proficiency in ML/statistical methods for real-world problems.
• Clear communicator to both technical and non-technical stakeholders.

Responsibilities

• Develops and implements analytics and AI solutions across the full modeling lifecycle.
• Translates business problems into scalable ML models and production-ready pipelines.
• Mentors junior staff and communicates insights to stakeholders.

Skills

Machine learning

Statistical analysis

Effective communication

Education

Master's degree in a related field

Tools

Python

R

SQL

AWS

Azure

XGBoost

PyTorch

Job description

LexisNexis Risk Solutions is seeking a Sr Statistical Modeler to develop and deploy analytics and AI solutions that support business objectives. You will independently execute complex modeling, translate problems into scalable ML pipelines, and collaborate with engineering and product teams to productionize models.

The role emphasizes hands-on modeling, cloud-based data workflows, and the ability to explain technical concepts to non-technical stakeholders.