Sr Data Scientist
| Company | HCSC |
|---|---|
| Location | Chicago, IL, USA, Richardson, TX, USA |
| Salary | $90900 – $164200 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential; OR Master’s degree and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 7 years experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.
- Strong learning and growth mindset
- Customer focus
- Strong interpersonal, verbal and written communication skills.
- Proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.
- Hands on experience building, deploying and maintaining NLP models in production.
- Understanding of large language models and/or deep learning techniques for NLP.
Responsibilities
- Provide advanced mathematical and statistical methods to solve business problems, with minimal direction from leadership.
- Collect, integrate and analyze data from various sources related to health status and outcomes for members, characteristics of health care providers, internal business processes, and other domains.
- Perform complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts.
- Select and adapt machine learning and probabilistic modeling methods to construct predictive algorithms to support data analysis or product functions.
- Verify model and algorithm effectiveness based on real-world results.
- Design experiments and methodologies to generate and collect data for business use.
- Create visualizations, interactive analytical applications and interpretive artifacts to support business application of data science findings.
- Represent the perspective of the data science team on cross-functional teams and contribute to consequential decisions.
Preferred Qualifications
- Master’s or Ph.D. in a quantitative field, or bachelor’s degree with significant healthcare experience.
- Experience with generative AI is a bonus.