Data Scientist (Remote - US)

Thank you for considering a career at Bon Secours Mercy Health!

Summary of Primary Function/General Purpose of Position

The Data Scientist applies strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engine and services. They collaborate with translators to define technical problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions.

***Remote/work from home - eastern time zone hours.

Essential Job Functions

• Designs, creates, tests, and implements complex models and algorithms that drive analytical solutions throughout the organization.
• Conducts advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance.
• Collaborates with translators and understands business problems to implement scalable and sustainable solutions.
• Coordinates with Data Analysts, Machine Learning Engineers, and Data Engineers to deliver holistic analytical solutions.
• Supports translators in communicating the design, functioning, and output of the analytical models and solutions developed.
• Ensures timely analysis and testing for regular maintenance of solutions over time.

This document is not an exhaustive list of all responsibilities, skills, duties, requirements, or working conditions associated with the job. Employees may be required to perform other job-related duties as required by their supervisor, subject to reasonable accommodation.

Licensing/Certification

None

Education

• Bachelors in Mathematics, Statistics, Computer Science, Information Systems, Information Technology, Data Science, Computer Engineering (required)
• Masters, Data Science, Computer Science, Engineering, or Statistics (preferred)
• Doctorate, Data Science, Computer Science, Engineering, or Statistics (preferred)

Work Experience

• 2+ years' experience in a data science role (required)
• 3+ years' experience in a data engineering, analyst, or architecture role (preferred)

Skills

• SQL
• Python or R proficiency
• Machine Learning concepts and engineering tools
• Merge and transform datasets
• BI tools (e.g., Tableau, PowerBI)
• Attention to detail
• Critical thinking
• Ability to work with technical and non-technical stakeholders
• Requirements translation
• Agile work process
• Continuous learner
• Microsoft Suite

Working Conditions

Periods of high stress and fluctuating workloads may occur

General office environment

Physical Requirements

Lifting/ Carrying (0-50 lbs.) 0%

Lifting/ Carrying (50-100 lbs.) 0%

Push/ Pull (0-50 lbs.) 0%

Push/ Pull (50-100 lbs.) 0%

Stoop, Kneel 0%

Crawling 0%

Climbing 0%

Balance 0%

Bending 0%

Sitting 67 - 100 %

Walking 0%

Standing 0%

Additional Physical Requirements/Hazards

None

Patient Population

Not applicable to this position

Bon Secours Mercy Health is an equal opportunity employer.

Many of our opportunities reward* your hard work with:

• Comprehensive, affordable medical, dental and vision plans
• Prescription drug coverage
• Flexible spending accounts
• Life insurance w/AD&D
• Employer contributions to retirement savings plan when eligible
• Paid time off
• Educational Assistance
• And much more

*Benefits offerings vary according to employment status

Scheduled Weekly Hours:

40

Work Shift:

Days (United States of America)

Department:

SS Analytics

All applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, age, genetic information, or protected veteran status, and will not be discriminated against on the basis of disability. If you'd like to view a copy of the affirmative action plan or policy statement for Mercy Health - Youngstown, Ohio or Bon Secours - Franklin, Virginia; Petersburg, Virginia; and Emporia, Virginia, which are Affirmative Action and Equal Opportunity Employers, please email [email protected]. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact The Talent Acquisition Team at [email protected].