Data Scientist at Ascension

, , United States -

Full Time

Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

134109.89

Posted On

10 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

R, Python, SQL, Machine Learning, Predictive Modeling, Exploratory Data Analysis, Large Language Models (LLMs), GCP, Microsoft Azure Machine Learning, Redshift Sage, HR Data Analysis, Oracle Cloud Datasets

Industry

Hospitals and Health Care

Description

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 #HRJob #LI-Remote 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'sdegree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required. What additional requirements 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. 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. Equal employment opportunity employer 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. Fraud prevention notice Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system. E-Verify statement Employer participates in the Electronic Employment Verification Program. Please click here for more information. Benefits Paid time off (PTO)Various health insurance options & wellness plansRetirement benefits including employer match plansLong-term & short-term disabilityEmployee assistance programs (EAP)Parental leave & adoption assistanceTuition reimbursementWays to give back to your community Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.

Responsibilities

Develop and monitor production-ready data science and machine learning pipelines for predictive modeling and business insights. Design and implement solutions using Large Language Models (LLMs) to solve real-world business problems.