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
Core Responsibilities
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. Foundational understating of the healthcare industry, including common challenges, trends and key performance indicators (KPIs).
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.
Additional Responsibilities
Take ownership of assigned tasks and demonstrate accountability for delivering high-quality results. Actively contribute to team discussions, providing constructive feedback and sharing ideas. Seek opportunities to support and mentor peers in areas of expertise. Demonstrate initiative by identifying potential improvements to processes or workflows.
Demonstrate clear, concise and professional communication. Ability to articulate technical concepts and ideas in a way that is accessible to both technical and non-technical team members.
Actively listen to colleagues and stakeholders, ensuring understanding before responding. Engage in collaborative discussions with a positive and approachable demeanor. Proactively ask clarifying questions to ensure alignment and comprehension of tasks or goals.
Demonstrate proficiency with common modeling techniques (e.g., regression, classification, clustering, etc.) and evaluate models using appropriate metrics. Work with senior team members to refine models and optimize their performance for specific use cases. Document modeling processes, assumptions, and results for transparency and reproducibility.
Implement basic validation checks to ensure data accuracy and integrity. Proactively flag potential data quality issues and collaborate with senior team members or Data Engineers to address them. Maintain clear documentation of data cleaning and transformation processes.
Share ideas and feedback in a respectful and open manner. Actively participate in team discussions, contribute to group problem-solving efforts. Seek input from colleagues with diverse perspectives to improve the quality of solutions.
Build positive working relationships by being approachable, dependable, and a supportive team player. Maintain a respectful and professional attitude during disagreements, focusing on achieving the best outcomes.
Communicate insights in a clear and structured way, using visuals and narratives to engage the audience. Tailor storytelling approach to suit the needs of technical and non-technical audiences. Focus on simplicity and clarity.
Demonstrate ability and desire to quickly learn new tools and technologies as needed to address project-specific requirements. Display curiosity for digging deeper into the data
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, SAS or SQL for data analytics
Familiarity with data visualization techniques & tools (e.g. Tableau, Power BI, H2O Wave, etc.) to present findings effectively
Basic understanding of relational databases & relationships between tables
Experience delivering concise, actionable presentations and recommendations to key stakeholders
Experience preferred:
Experience designing, building and optimizing statistical models
Familiarity with cloud-based data solutions such as Google Cloud Platform / aws / Microsoft Azure
Familiarity with Workday Reporting & Workday PRISM and/or other large-scale Human Capital Management (HCM) systems
Basic familiarity with Databricks or a strong willingness to learn and adopt the platform quickly
Basic familiarity with basic AI concepts, such as supervised and unsupervised learning, neural networks, and natural language processing (NLP). Demonstrate an eagerness to learn and apply AI techniques to real-world problems. Collaborate with senior team members to design and test AI solutions, contributing to the development of foundational AI capabilities
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* 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
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