Senior Data Scientist, Auto Insurance Analytics

LexisNexis Special Services Inc.; Alpharetta (GA); Hybrid; USD 95,000 - 159,000; Full time

Job summary

LexisNexis Risk Solutions in the United States seeks a Senior Data Scientist I to join the Auto Insurance Rating Analytics team. You will define project scope with managers and execute it independently, mentoring junior staff and developing best practices while applying advanced statistics and ML.

The role involves building and evaluating models on large data using Python/R, with cloud experience preferred. Base pay range reflects Alpharetta, GA market rates and includes annual incentives.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or related quantitative field; 3+ years data manipulation and AI/ML experience.
• Strong expertise in Python, R, SQL or equivalent analytics software.
• Experience merging large data sets in distributed computing environments.
• Solid understanding of ML techniques including model validation and testing.
• Programming in Python and/or R with standard ML packages (pandas, scikit-learn, NumPy) and/or Scala.

Responsibilities

• Develop, analyze, and model data to quantify performance and design new approaches.
• Analyze data to propose solutions for complex problems and quantify competitive performance.
• Apply statistical, mathematical, predictive modeling and business analysis skills to high-volume data.
• Provide guidance to junior staff and share cross-functional knowledge.
• Support existing models and lead small project teams when needed.

Skills

Python

R

SQL

Pyspark

ML techniques

Distributed computing

Education

Bachelor's degree in Mathematics/Statistics/CS/Data Science

Master's/Ph.D. degree preferred

Tools

pandas

scikit-learn

NumPy

XGBoost

PyTorch

rpart

caret

Scala

Azure/AWS ML Services

Job description

LexisNexis Risk Solutions in the United States seeks a Senior Data Scientist I to join the Auto Insurance Rating Analytics team. You will define project scope with managers and execute it independently, mentoring junior staff and developing best practices while applying advanced statistics and ML.

The role involves building and evaluating models on large data using Python/R, with cloud experience preferred. Base pay range reflects Alpharetta, GA market rates and includes annual incentives.