Data Scientist

We've made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, and innovate.  We believe that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways. 

At Ochsner, whether you work with patients every day or support those who do, you are making a difference and that matters.  Come make a difference at Ochsner Health and discover your future today! 

This job uses advanced and predictive data analytics using machine learning and artificial intelligence technology for healthcare innovation and outcomes. Performs analysis using data science techniques on structured and unstructured data sets and develops algorithms for targeted business needs. Pilots the delivery of patient-centered and personalized advanced analytics solutions that improve contract performance, program effectiveness, and clinical, financial, and utilization outcomes across the continuum of care. Implements advanced scientific techniques, forecasting, and machine learning to predict financial and clinical outcomes in order to guide investments that improve health outcomes and reduce costs.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential duties.

This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at the company’s discretion.

Education

• Required: Bachelor’s degree in data science, computer science, mathematics, statistics, or economics.

• Preferred: Master’s degree in data science, computer science, mathematics, statistics, or economics.

Work Experience

• Required: 2 years of experience in data science or analytics in healthcare.
• Preferred: 3 years of experience in data science or analytics in healthcare.

Knowledge Skills and Abilities (KSAs)

• Effective verbal and written communication skills and ability to present information clearly and professionally.

• Strong interpersonal skills.

• Strong analytic, problem solving, story-telling and troubleshooting skills.

• Proficient with computer languages, such as R/Python, SQL, and SAS.

• Ability to communicate and present technical concepts, including creating dashboards to aid in explaining analysis to a non-technical audience.

• Knowledge of data visualization, charts, dashboards, and reporting tools.

• Ability to pay exceptional attention to detail.

• Ability to support key business initiatives through positive relationships, effective communication, and cross-team collaboration.

Job Duties

• Leads the design and deployment of computational algorithms, statistical methods, and predictive models.               

• Uses machine learning techniques and statistical test, including Pearson correlation, Ttests and Anova statistical tests, for hypothesis testing to assess outcomes of interventions and clinical program.

• Uses supervised and unsupervised machine learning techniques such as regression, random forest, xgboost, clustering or causal inference techniques, such as hierarchical modeling and propensity score matching, to deliver analytics solutions and researches new methods to evaluate, improve and implement machine learning models to be used in clinical, operational, and corporate areas.

• Follows best practices for data science and software development (version control, testing, containerization) to create deployable models and repeatable analyses.   

• Heads the creation and dissemination of data mining approaches that facilitate rapid, streamlined detection of outliers, novel patterns of association, and latent, causal connections in high-dimensional data sets.

• Serve as quantitative subject matter expert (SME) and mentor to colleagues and teammates,