Senior Data Scientist
Employment Information
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Job Summary
This position is responsible for providing advanced mathematical and statistical methods to solve business problems, with minimal direction from leadership. Senior data scientists collect, integrate and analyze data from sources related to health status and outcomes for our members, characteristics of health care providers, internal business processes, and other domains. Senior data scientists perform complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts. Senior data scientists select and adapt machine learning and probabilistic modeling methods to construct predictive algorithms to support data analysis or product functions. They verify model and algorithm effectiveness based on real-world results. Senior data scientists design experiments and methodologies to generate and collect data for business use. Senior data scientists create visualizations, interactive analytical applications and interpretive artifacts to support business application of data science findings. Senior data scientists represent the perspective of the data science team on cross-functional teams and contribute to consequential decisions.
Required Job Qualifications:
- 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.
- Proficiency in Python for ML and data wrangling
- Experience scaling machine learning pipelines with parallel/distributed processing using Apache Spark, and proficiency coding in Pyspark, particularly MLlib
- Professional experience utilizing Databricks
Preferred Job Qualifications:
- Master's or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience.
- Professional experience developing data science solutions for actuarial models in the insurance industry
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HCSC Employment Statement:
We are an Equal Opportunity Employment / Affirmative Action employer dedicated to providing an inclusive workplace where the unique differences of our employees are welcomed, respected, and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.