# Sr Statistical Modeler

**Company**: LexisNexis Risk Solutions
**Location**: Remote - USA - Nationwide
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $104,900 - $174,700
**Category**: Data Science
**Industry**: Technology

**Apply**: https://relx.wd3.myworkdayjobs.com/en-US/RiskSolutions/job/Remote---USA---Nationwide/Sr-Statistical-Modeler_R120035-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1fc76c13-fe7

## Description

The Sr Statistical Modeler develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions.

Responsibilities:

- Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex data from a variety of sources

- Develops and maintains infrastructure systems that connect internal data sets; creates new data collection frameworks for structured or unstructured data

- Recognized expert within the function

- Requires specialized depth and/or breadth of expertise Interprets internal or external business issues and recommends best practices

- Works independently, with guidance in only the most complex situations

- Trains/mentors junior staff

- Serves as an expert of own discipline to clients

- Interprets internal/external business challenges and recommends best practices to improve products, processes or services

Requirements:

- Proven Data Science experience, Advanced academic experience,such as a Master’s degree in a related discipline,may substitute for part of the required experience

- Solid experience in applying machine learning and statistical techniques to real-world problems.

- Hands-on experience developing, evaluating, and iterating on predictive and machine learning models.

- Experience evaluating model performance using appropriate statistical and machine learning metrics and validation techniques.

- Experience working with structured and unstructured data at scale.

- Proficiency in Python and/or R using common data science and machine learning libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch).

- Experience working with SQL and relational or cloud-based data platforms.

- Hands-on experience developing and running data science and AI workloads in cloud environments such as AWS and Azure, including compute, storage, monitoring, and cost-aware execution.

- Exposure to modern AI frameworks and tools, including large language model (LLM)–based solutions and retrieval-augmented workflows.

- Experience training, fine-tuning, or evaluating neural network–based models as part of applied machine learning solutions.

- Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.

- Ability to independently execute complex analytical work within defined scope.

- Clear and effective communicator, able to explain technical ideas in a way that’s easy for non-technical audiences to understand.

The U.S. National Base Pay Range is $104,900 - $174,700. Geographic differentials may apply in some locations.

## Skills

### Required
- Python
- R
- machine learning
- statistical techniques
- data science
- SQL
- cloud computing
- AWS
- Azure
- large language models
- neural networks

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Source: [Apply at relx.wd3.myworkdayjobs.com](https://relx.wd3.myworkdayjobs.com/en-US/RiskSolutions/job/Remote---USA---Nationwide/Sr-Statistical-Modeler_R120035-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)