Data Scientist - People Analytics

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day.   

We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. 

Our four values guide our strategy, our decisions, and our interactions: 

• Make it human. We care about the people that make up our customers, colleagues, and communities.  
• Make it about others. We do what’s best for our customers and collaborate to drive progress.   
• Make it happen. We work with intention toward a common purpose and forge ways forward together.   
• Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. 

POSITION TITLE 

Data Scientist – People Analytics

POSITION LOCATION 

This position is available to Virginia residents as Richmond, Virginia in-office/hybrid applicants and to remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington DC, West Virginia or Wisconsin.

YOUR ROLE 

Genworth is seeking a highly motivated and skilled People Analytics Data Scientist to join our growing team. As a key member of our HR function, you will leverage your expertise in data analysis, statistical modeling, and machine learning to drive data-driven decision-making and optimize our people strategies. You will work closely with HRIS, IT, HR business partners, and leadership to identify opportunities to improve talent acquisition, performance management, employee engagement, and overall organizational effectiveness through data analysis.

What you will be doing 

With a strong understanding of both key business context and BI architecture and design, this role will be critical in bridging the gap between the business user and their data. They will analyze large amounts of HR data to generate insights, optimize processes, and enhance employee experiences. Responsibilities will vary from very technical to very high-level design. 

• Develop and implement advanced analytical models and machine learning algorithms to address key HR challenges, such as predicting employee turnover, identifying high-potential employees, and optimizing recruitment sourcing strategies
• Analyze large datasets of employee data from various sources (HRIS, performance management systems, engagement surveys, etc.) to identify and forecast trends, patterns, and insights related to workforce dynamics
• Design and conduct statistical analyses, including regression analysis, time series analysis, and A/B testing, to evaluate the effectiveness of HR programs and initiatives
• Create compelling visualizations and reports to communicate complex data insights to HR business partners, leadership, and other stakeholders
• Collaborate with HR business partners to understand their needs and translate business questions into actionable data analyses
• Develop and maintain data dashboards and modeling tools to provide ongoing monitoring of key HR metrics
• Partner with IT in the design and maintenance of data warehouse
• Stay up to date on the latest trends and advancements in People Analytics, data science, and machine learning
• Contribute to the development of our People Analytics roadmap and strategy
• Ensure data quality and integrity by implementing appropriate