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 data governance processes   
• Other duties as assigned   

What you bring 

• Master’s degree in Business, Statistics, Computer Science, or related field, or equivalent work experience
• 5+ years’ experience in data science, with a focus on statistical modeling, machine learning, and data analysis
• 5+ years’ experience working with data warehouse systems and a solid understanding of the data warehouse life cycle
• Strong understanding of statistical concepts and methods, including regression analysis, time series analysis, and hypothesis testing
• Proficiency in statistical programming languages such as R or Python
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Experience with data visualization tools (e.g., Power BI, Tableau)  
• Experience with cloud platforms for data storage and computational needs (e.g., AWS, Google Cloud, Azure)
• Experience manipulating, cleaning, and managing large datasets and relational databases (SQL)
• Experience in extracting, transforming, and loading (ETL) data for analysis
• Knowledge of structuring and optimizing databases for efficient data storage and access
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences  
• Strong problem-solving skills and a passion for using data to drive business decisions
• Knowledge of HR principles and practices 
• Ability to collaborate effectively with cross-functional teams
• Strong interpersonal skills to foster teamwork
• Attention to detail and ability to meet deadlines
• Prior experience with Workday HCM preferred

Employee Benefits & Well-Being 

Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives. 

• Competitive Compensation & Total Rewards Incentives 
• Comprehensive Healthcare Coverage 
• Multiple 401(k) Savings Plan Options 
• Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!) 
• Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave  
• Disability, Life, and Long Term Care Insurance  
• Tuition Reimbursement, Student Loan Repayment and Training & Certification Support  
• Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management) 
• Caregiver and Mental Health Support Services 

Additional Information

The base salary pay range for this role starts at a minimum rate of $ 95,800 up to the maximum of $220,500. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 10% of your base compensation.  The final determination on base pay for this position will be based on multiple factors at the time of this job posting including but not limited to geographic location, experience, and qualifications to ensure pay equity within the organization.