Data Scientist - People Analytics - Military Veterans

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care withguidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need careand 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 whats 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 TITLEData Scientist People AnalyticsPOSITION LOCATIONThis 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 ROLEGenworth 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 doingWith 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 strategiesAnalyze 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 dynamicsDesign and conduct statistical analyses, including regression analysis, time series analysis, and A/B testing, to evaluate the effectiveness of HR programs and initiativesCreate compelling visualizations and reports to communicate complex data insights to HR business partners, leadership, and other stakeholdersCollaborate with HR business partners to understand their needs and translate business questions into actionable data analysesDevelop and maintain data dashboards and modeling tools to provide ongoing monitoring of key HR metricsPartner with IT in the design and maintenance of data warehouseStay up to date on the latest trends and advancements in People Analytics, data science, and machine learningContribute to the development of our People Analytics roadmap and strategyEnsure data quality and integrity by implementing appropriate data governance processesOther duties as assignedWhat you bringMasters degree in Business, Statistics, Computer Science, or related field, or equivalent work experience5+ years experience in data science, with a focus on statistical modeling, machine learning, and data analysis5+ years experience working with data warehouse systems and a solid understanding of the data warehouse life cycleStrong understanding of statistical concepts and methods, including regression analysis, time series analysis, and hypothesis testingProficiency in statistical programming languages such as R or PythonExperience 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 analysisKnowledge of structuring and optimizing databases for efficient data storage and accessExcellent 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 decisionsKnowledge of HR principles and practicesAbility to collaborate effectively with cross-functional teamsStrong interpersonal skills to foster teamworkAttention to detail and ability to meet deadlinesPrior experience with Workday HCM preferredEmployee Benefits & Well-BeingGenworth employees make a difference in peoples lives every day. Were committed to making a difference in our employees lives.Competitive Compensation & Total Rewards IncentivesComprehensive Healthcare CoverageMultiple 401(k) Savings Plan OptionsAuto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)Generous Paid Time Off Including 12 Paid Holidays, Volunteer Time Off and Paid Family LeaveDisability, Life, and Long Term Care InsuranceTuition Reimbursement, Student Loan Repayment and Training & Certification SupportWellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)Caregiver and Mental Health Support ServicesAdditional InformationThe 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.