Data Scientist

Your future role at a glance

Location: Remote with about 5% travel

Department: Workforce Intelligence and Insights

Schedule: Day shift l Full-time 

Salary range: $96,208.99 - $134,109.89 per year

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Life at Ascension: Where purpose meets opportunity

Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 97,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you’ll find an inclusive and supportive environment where your contributions truly matter.

Benefits that help you thrive

• Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA options
• Financial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance
• Time to recharge: pro-rated paid time off (PTO) and holidays
• Career growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learning
• Emotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resources
• Family support: parental leave, adoption assistance and family benefits
• Other benefits: optional legal and pet insurance, transportation savings and more

How you'll make an impact in this role

• Use R/Python and SQL to develop, implement, and monitor production-ready data science and machine learning pipelines for predictive modeling.
• Navigate complex business and technical scope, stakeholder needs, and practical implications to discern data science opportunities.
• Ability to perform exploratory data analysis to identify relevant statistical and machine learning techniques for business insight.
• Serves as a technical consultant and translates highly technical information to numerous audiences, including to executives, stakeholders, and less-experienced associates.
• Design, develop, and monitor solutions leveraging Large Language Models (LLMs) to solve real-world business problems.

What minimum qualifications you'll need

Education:

• High School diploma equivalency with 2 years of cumulative experience OR Associate's
  degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.

What additional preferences you'll need

• Experience with cloud data science platforms such as GCP, Microsoft Azure Machine Learning, or Redshift Sage.
• Strong understanding of leveraging HR data to address business challenges, such as pipelining data from survey results or ingesting and structuring Oracle Cloud datasets.

Equal employment opportunity employer

Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

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• Use R/Python and SQL to develop, implement, and monitor production-ready data science and machine learning pipelines for predictive modeling.
• Navigate complex business and technical scope, stakeholder needs, and practical implications to discern data science opportunities.
• Ability to perform exploratory data analysis to identify relevant statistical and machine learning techniques for business insight.
• Serves as a technical consultant and translates highly technical information to numerous audiences, including to executives, stakeholders, and less-experienced associates.
• Design, develop, and monitor solutions leveraging Large Language Models (LLMs) to solve real-world business problems.

Education:

• High School diploma equivalency with 2 years of cumulative experience OR Associate's
  degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.