Job Description:
The Senior Data Scientist role at Optum is a dynamic opportunity to work on innovative AI projects driving and supporting advanced analytic solutions aimed to improve healthcare delivery.
You will be an important member of a Data Science team focused on innovation; developing predictive models that leverage data in new and exciting ways.
About the Role:
This role involves working closely with business and product stakeholders, as well as with Business Intelligence and Data Engineering teams to contribute across the Data Science toolset.
You will have the opportunity to collaborate with fellow data scientists, business analysts, and subject matter experts to design and oversee the development of working prototypes of data science solutions.
Main Responsibilities:
* Work with business to develop and operationalize analytic solutions.
* Engage in communications for all important functions including data understanding/exploration, strategizing solutions, etc.
* Leverage big data analytics infrastructure comprising Hadoop, MapR, Python, H2O, Spark, and Snowflake to solve complex business problems in the healthcare domain.
* Leverage technical analytical expertise across the enterprise to architect, deploy, and oversee integrated analytics/business technology solutions.
* Collaborate with fellow data scientists, business analysts, and subject matter experts to design and oversee the development of working prototypes of data science solutions.
Requirements:
* Degree in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
* Proven experience with Machine Learning and/or Predictive Analytics using Python.
* Hands-on experience with Big Data technologies (PySpark, H2O, Snowflake, Hive) and/or traditional relational database technologies (any of Oracle, MS SQL Server, MySQL, etc.).
* Experience applying computational algorithms and statistical methods to structured and unstructured data.
* Experience combining analytic methods with advanced data visualizations.
* Experience with CI/CD practices and tools (Git, GitHub, etc.) for development and monitoring throughout the model lifecycle.
Preferred Qualifications:
* Masters or PhD in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
* Experienced with healthcare data.
* Experience in working with temporal data.
* Track record of designing and applying machine learning solutions for real-world problems.