Senior Data Scientist III
| Company | LexisNexis Risk Solutions |
|---|---|
| Location | Alpharetta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Possess current work experience in statistical modeling and analysis, preferably in credit or insurance industry, life underwriting, or healthcare research.
- Have current hands-on experience with EHR (Electronic Health Records) or medical billing data and medical coding system
- Possess domain expertise in Data Science and/or Statistical Analysis, with the capability to develop advanced models and collaborate with cross-functional teams to deploy them into production.
- Ability to design, scope, and implement new statistical methodologies with guidance and approval from leadership.
- Proficiency in Python/PySpark is required. Works across coding languages used in Data Science (e.g. Python, SQL, and R)
- Knowledge of machine learning models, with a preference for experience in Natural Language Processing (NLP) or Large Language Models (LLMs), is a plus.
Responsibilities
- Researching and developing statistical/machine learning models to analyze structured and unstructured data by ideating and experimenting with new methodologies to generate predictive scores and attributes.
- Leading the design and development of data acquisition and machine learning models to produce key attributes that can leverage in risk segmentation models.
- Ideating, researching, and designing new and innovative analytics and data science methodologies on large scale and complex data assets.
- Storing, archiving, indexing, transferring, and analyzing large and complex datasets (structured and unstructured data).
- Working with peers to share subject matter expertise, transfer skills, and develop knowledge base. Exploring and mining new data sources to help optimize and validate existing models.
- Making important contributions to the team’s success using their technical and professional expertise.
- Applying organization and/or business knowledge to address issues facing the team.
- Helping develop and articulate a sound business and technical strategy for the team.
Preferred Qualifications
- Knowledge of machine learning models, with a preference for experience in Natural Language Processing (NLP) or Large Language Models (LLMs), is a plus.