Data Scientist

Hcsc Chicago , IL 60602

Posted 2 months ago

Job ID: AR-1036381

Description:

Job Purpose:

This position is responsible for employing advanced analytical techniques to create and drive adoption of data-based products and processes to add business value for internal and external customers. They will use data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights. They will leverage domain expertise and communication skills to identify data-based solutions to customer needs, and present and explain technical findings to non-technical audiences to promote data-driven decision making. They will create analytical processes for automated machine-driven decision making where human decision making is not scalable or feasible.

Job Responsibilities:

  • Apply data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights.

  • Leverage domain expertise and communication skills to identify data-based solutions to customer needs.

  • Develop, create, and implement data-based products and processes to add business value for internal and external customers.

  • Develop, create, and implement analytical processes for automated machine driven decision making where human decision making is not scalable or feasible.

  • Present and explain technical findings to non-technical audiences to promote data-driven decision making.

  • Identify new data sources, drive collection of data, and identify use cases for existing data sources.

  • Document steps and data sources and ensure that models and processes are easily understandable and maintainable.

  • Communicate and interact effectively and professionally with co-workers, management, customers, etc.

  • Comply with HIPAA, Diversity Principles, Corporate Integrity, Compliance Program policies and other applicable corporate and departmental policies.

  • Maintain communication with management regarding development within areas of assigned responsibilities and perform special projects as required or requested.

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 6 years' experience in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.

  • Strong learning and growth mindset

  • Customer-focused

  • Strong interpersonal, verbal and written communication skills.

  • Must demonstrate proficiency in at least four of the following six areas:

  • Proficiency with Microsoft applications including Access, Excel, Word and Power Point.

  • data analysis and relational-style query languages

  • machine learning and/or statistical modeling

  • data visualization

  • a high-level programming language

  • distributed computing

  • understanding of healthcare

Preferred Job Qualifications:

  • Masters or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience.

  • Experience working with healthcare data. Medicare experience preferred.

  • Significant experience with SQL and Python/R

  • learning and growth mindset.

  • Customer-focused.

  • Interpersonal, verbal and written communication skills

  • Working with semi-structured and unstructured data

  • Experience working with healthcare data (both transactional and reporting datasets): claims, enrollment, clinical

  • Distributed ETL/Computing: Hadoop, Spark (both Python and Scala), Hive, and Pig (for legacy processes)

  • Experience with cloud services: Microsoft Azure or Amazon Web Services (AWS)

  • Knowledge of Docker and Kubernetes, ideally with continuous integration experience

  • API development

  • Version control use Git

  • CA

HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. We are an Equal Opportunity Employment / Affirmative Action employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Drug screening and background investigation are required, as allowed by law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Requirements:

Expertise Data Science Job Type Full-Time Regular Location IL - Chicago


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Data Scientist

Hcsc