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Details

Department: Ascension Data Science Institute
Schedule: Full time, 8 hour day shift, Monday - Friday
Location: Remote

Benefits

Paid time off (PTO)

Various health insurance options & wellness plans

Retirement benefits including employer match plans

Long-term & short-term disability

Employee assistance programs (EAP)

Parental leave & adoption assistance

Tuition reimbursement

Ways 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 and salary range at the time of the offer.

_Responsibilities

We are hiring:

Ascension is seeking a highly motivated and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data mining, machine learning, and statistical analysis.

In this role, you will work with a team of data scientists, engineers, and clinicians to develop and deploy data-driven solutions to improve patient care. You will also have the opportunity to collaborate with other Ascension teams on projects that impact the entire organization.

The many benefits of working at Ascension include flexibility with remote work, competitive salary, comprehensive benefits, and opportunities for professional development. If you are passionate about using data to make a difference in the world, we encourage you to apply.

What You Will Do

Design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis. Develop analysis, forecasting, and predictive models to improve the quality of Ascension’s data science products.

Develop ML models for different use cases: tabular data, images, video, speech, unstructured text.
Articulate business questions and select appropriate statistical and machine learning methods to provide an answer given available data and problem specific constraints.
Confidently solve regression, classification, clustering, forecasting, and anomaly detection problems using established machine learning techniques.
Wear multiple “hats” and help in different roles including; expert analyst, statistician, and applied machine learning engineer.
Communicate highly technical information to numerous audiences, including senior management, the user community, and less-experienced staff. Demonstrate leadership and self-direction. Be willing to both teach others and learn new techniques.
Collaborate cross-functionally with product teams, data engineers, and subject matter experts to develop solutions for data science projects.

Additional Preferences

Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
2 years of work experience in data analysis related field.
Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL). Comfortable using Github for version control of code.
4 years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
Applied cloud experience with machine learning on large datasets (e.g., AWS, GCP).

Requirements

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.

Additional Preferences

No additional preferences.

#internalops

Why Join Our Team

Ascension associates are key to our commitment of transforming healthcare and providing care to all, especially those most in need. Join us and help us drive impact through reimagining how we can deliver a people-centered healthcare experience and creating the solutions to do it. Explore career opportunities across our ministry locations and within our corporate headquarters.

Ascension is a leading non-profit, faith-based national health system made up of over 134,000 associates and 2,600 sites of care, including more than 140 hospitals and 40 senior living communities in 19 states.

Our Mission, Vision and Values encompass everything we do at Ascension. Every associate is empowered to give back, volunteer and make a positive impact in their community. Ascension careers are more than jobs; they are opportunities to enhance your life and the lives of the people around you.

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) (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) poster or EEO Know Your Rights (Spanish) (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRightsSp_10_20.pdf) poster.

As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.

Pay Non-Discrimination Notice (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_ English_formattedESQA508c.pdf)

Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.

E-Verify Statement

This employer participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.

E-Verify (https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf)