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SalarySummary
HR Data Scientists uncover critical workforce insights from large volumes of data and help HR leaders make data-driven decisions to better deliver on the organization’s mission & to improve the overall associate experience. The scientist's primary focus will be in applying data mining techniques, performing statistical analysis, and building high quality prediction systems integrated with human capital management.
Essential Job Functions
Extract data from multiple disparate sources using state of the art methods and technology.
Assist in data preparation to create advanced statistical analyses and predictive models.
Process, cleanse, and verify the integrity of data used for advanced statistical analyses and predictive models.
Build analytic capabilities and predictive modeling using statistical techniques to resolve organizational challenges and uncover critical human capital insights.
Select features, build and optimize classifiers using machine learning techniques.
Collaborate with team members and managers to understand organizational needs and assist in development of advanced analytical solutions and plans.
Utilize statistical discoveries to assist in the creation of meaningful presentations, infographics, and white papers that tell a "story" focused on statistical insights, not just data.
Stay up to date with regards to latest advanced analytical and machine learning technologies.
Assist in the development of data visualizations that provide deeper workforce insight for senior leadership.
Support automation efforts to embed analytics into repeatable, production-oriented processes that can be incorporated into the organization’s workflow.
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.
Education
Bachelors degree required; preferred areas of study Data Analytics, Computer Science, Statistics, Mathematics
Work Experience
2 years of related experience required:
Experience using R, Python or SAS for data analytics
Familiarity with data visualization techniques & tools
Basic understanding of relational databases & relationships between tables
Experience delivering concise, actionable presentations and recommendations to key stakeholders
2 years of related experience preferred:
Experience designing, building and optimizing statistical models
Skills
Hard/Tech/Clinical Skills:
Knowledge of advanced analytical models and methodologies
Python, R or other relevant languages
Strong problem solving, multitasking and time management skills
Strong organizational skills
Strong written, verbal, and comprehension skills required
Soft/Interpersonal Skills:
Attention to detail
Critical thinking
Communication with team members
Teamwork
Prioritization
Active listening
Relationship building
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
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 recruitment@mercy.com. 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 recruitment@mercy.com
