Senior Data Scientist
| Company | PatientPoint |
|---|---|
| Location | Cincinnati, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- 6+ years of experience responding to stakeholder questions by creating and presenting data analytics
- Bachelor’s degree in Applied Statistics, Computer Science, Business Analytics, Information Systems or a related field
- Mastery of the SQL programming language including experience creating complex SQL queries, data views and using functions.
- Advanced knowledge and competency of machine learning and data science methods including regression analysis, A/B testing, power analysis, anomaly detection, model validation and selection, building of ensemble models, network analysis, simulation, conducting inferential analysis with spatial and time series data, nearest neighbor, deep learning methods, etc.
- Advanced competency using Python for data analysis and model development building large, at-scale solutions
- Working knowledge of data visualization in Tableau or comparable data visualization tool
Responsibilities
- Work with a cross-functional team of stakeholders to develop solutions identified on the Advanced Analytics team roadmap to support strategic initiatives
- Identify data requirements and using appropriate methods, theories and tools in the data science and machine learning fields to determine what will deliver the most value to our customers
- Utilize descriptive analytics to predictive models to deliver value to the business
- Mentor and coach less experienced analytics team members as they continue to develop their skills
Preferred Qualifications
- Professional experience in healthcare, pharmaceutical, digital advertising industries
- Experience with Snowflake, HEX, AWS SageMaker, mlflow
- Advanced degree in Applied Statistics, Computer Science, Business Analytics, Information Systems or a related field