Workforce Data Scientist - Human Resources (HR)

At Bon Secours Mercy Health, we are dedicated to continually improving health care quality, safety and cost effectiveness. Our hospitals, care sites and clinicians are recognized for clinical and operational excellence.

This is a full time, direct hire, remote / work from home position. Hire must be living in the continental US and open to working eastern time zone hours.

SUMMARY

Workforce Data Scientists uncover critical workforce insights from large volumes of data and help Human Resources (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.

EMPLOYMENT QUALIFICATIONS

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

Many of our opportunities reward

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

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