Data Scientist

Responsibilities

• Perform detailed exploratory data analysis (EDA) to understand data quality, drivers, patterns, and business context prior to model development
• Deliver data science solutions by building predictive models and advanced analytics using structured and unstructured data
• Apply a range of data science and machine learning techniques (e.g., regression, decision trees, neural networks, clustering, time series) to solve business problems
• Partner with product owners across Workplace Solutions to understand requirements, define hypotheses, and ensure analytical outputs align to business needs
• Communicate technical findings and business insights through clear presentations and effective data visualizations for business and technical audiences
• Assist in the evaluation of data science platforms, technologies, frameworks, and data sources
• Support implementation, monitoring, and continuous improvement of data science solutions
• Required Qualifications
• Advanced degree (Master's or Ph.D.) in data science or a quantitative discipline (e.g., statistics, computer science, applied mathematics, engineering), or equivalent experience
• 2+ years of experience developing and delivering data science solutions
• Full proficiency with machine learning and advanced analytics methods
• Strong skills in SQL, Python, data visualization, PySpark, and data wrangling on cloud‑based data platforms
• Solid business acumen with the ability to quickly learn and apply knowledge of Workplace Solutions domains (Retirement, Wealth, and Benefits)
• Strong written and verbal communication skills

Requirements

• Prior experience in financial services, particularly Retirement, Wealth Management, or Employee Benefits
• Hands‑on experience building and deploying data science solutions on public cloud platforms
• Experience with Azure ML, Snowflake, Databricks, and deep learning libraries (e.g., TensorFlow, PyTorch, Keras)
• Compensation Pay Disclosure:
• Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities.
• $109,000 - $136,250 USD
• Be Well. Stay Well.
• Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs,

Benefits

Additional Information

Together we fight for everyone's opportunity for a better financial future. We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today. Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision. Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage - Apply Now Job Summary The Data Scientist expands the impact of data science across the firm by designing, developing, delivering, and supporting advanced analytics and machine learning solutions. This role partners with product owners to perform detailed exploratory analysis, translate complex business questions into actionable insights, and deliver predictive models that support key initiatives across Workplace Solutions, including Retirement, Wealth Management, Employee Benefits, and Benefits Administration.

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