Senior Data Scientist at Ochsner Health System in New Orleans, LA

Senior Data Scientist Location: New Orleans - New Orleans Region - Louisiana 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 senior-level role is pivotal in driving healthcare innovation through cutting-edge data science and machine learning technologies. The Sr Data Scientist not only develops advanced algorthims but also plays a key role in strategic decision-making processes. This individual will lead projects that optimize healthcare outcomes and improve financial efficiency and will act as a mentor and technical leader within the data science team. 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, Economics, or other related field. Preferred - Master's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or other related field. Work Experience Required -5 years Data science or Analytics in Healthcare Knowledge Skills and Abilities (KSAs) Exceptional verbal and written communication skills, with the ability to translate complex data science concepts into strategic business initiatives and influence stakeholders. Strong interpersonal skills with demonstrated leadership and mentorship capabilities. Expertise in advanced analytical techniques, problem-solving, and model evaluation, in addition to strong story-telling and trobleshooting skills. Advanced proficiency in programming languages such as Python and SQL, as well as expertise in specialized machine learning frameworks including but not limited to TensorFlow or PyTorch. Ability to communicate and present technical concepts to executive-level and cross-departmental audiences, including creating dashboards to aid in explaining analytics. Expertise in leading-edge data visualization tools and techniques, in addition to a strong understanding of charts, dashboards, and reporting tools. Exceptional attention to detal. Ability to lead and influence key business initiatives through positive relationships, effective communication, and cross-team colloboration. Job Duties Leads and strategically directs the design, deployment, and evaluation of computational algorithms and predictive models across multiple business units, while overseeing junior data scientists on these projects. Researches and implements cutting-edge maching learning techniques and statistical tests to drive innovation in healthcare analytics by staying updated with current academic and industry trends. Establishes best practices for team in data science and software development, including version control, testing, and containerization, ensuring deployable models and repeatable analyses across teams. Develops internal training programs and guidelines as the quantitative subject matter expert (SME), providing mentorship to junior data scientists and guiding the team in project/program design, statistical methodology, and model interpretation. Aligns data science goals with business objective, working directly with business partners in project scoping, timeline management, and documentation. Influences organizational strategies through regular engagement, communication, and high-level presentations to both internal and external stakeholders. Authors technical reports, statistical analysis plans (SAP), white papers, and peer-reviewed publications as needed. Oversees the entire data pipeline, from acquisition to analytics, ensuring data quality and governance standards, and guiding junior team members in these processes. Performs other related duties as assigned. The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time. Remains knowledgeable on current federal, state and local laws, accreditation standards or regulatory agency requirements that apply to the assigned area of responsibility and ensures compliance with all such laws, regulations and standards. This employer maintains and complies with its Compliance & Privacy Program and Standards of Conduct, including the immediate reporting of any known or suspected unethical or questionable behaviors or conduct; patient/employee safety, patient privacy, and/or other compliance-related concerns. The employer is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Physical and Environmental Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Sedentary Work - Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull, or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met. Normal routine involves no exposure to blood, body fluid or tissue and as part of their employment, incumbents are not called upon to perform or assist in emergency care or first aid. The incumbent has no occupational risk for exposure to communicable diseases. Because the incumbent works within a healthcare setting, there may be occupational risk for exposure to hazardous medications or hazardous waste within the environment through receipt, transport, storage, preparation, dispensing, administration, cleaning and/or disposal of contaminated waste. The risk level of exposure may increase depending on the essential job duties of the role. Are you ready to make a difference? Apply Today! Ochsner Health does not consider an individual an applicant until they have formally applied to the open position on this careers website. Please refer to the job description to determine whether the position you are interested in is remote or on-site.Individuals who reside in and will work from the following areas are not eligible for remote work position: Colorado, California, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington, and Washington D.C. Ochsner Health endeavors to make our site accessible to all users.  If you would like to contact us regarding the accessibility of our website, or if you need an accommodation to complete the application process, please contact our HR Employee Solution Center at 504-842-4748 (select option 1) or careers@ochsner.org. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. Ochsner is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any legally protected class, including protected veterans and individuals with disabilities.