Senior Data Scientist
| Company | Elsevier |
|---|---|
| Location | Pennsylvania, USA, North Carolina, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Expertise in both model building as well as retraining existing models.
- Proficiency in Python, SQL, PySpark and Java
- Experience with ML algorithms, deep learning, and neural networks
- Strong background in GitLab/GitHub and cloud computing
- Proven experience with *nix systems and Jupyter notebook hubs
- Healthcare domain knowledge highly desirable
- Track record of developing novel code solutions and best practices
Responsibilities
- Designing and conducting experiments to assess model performance
- Developing metrics, benchmarks, and evaluation frameworks
- Creating production-ready Python packages for evaluation pipeline components
- Evaluating AI models against healthcare domain standards
- Integrating data science components and conduct quality assessments
- Developing automated evaluation and maintenance tools
- Collaborating with technology teams for pipeline deployment
- Implementing and maintaining product performance reporting
- Build complex Data solutions from both structured and unstructured data to drive innovation
Preferred Qualifications
- Healthcare domain knowledge highly desirable