Data Scientist - Voya Financial : Job Details

Overview

Together we fight for everyones 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 everyones 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

About the Role

Were looking for a versatile Data Scientist to join our growing analytics team. In this role, you'll partner closely with business stakeholders to unlock value from datawhether thats predicting advisor behavior, identifying growth opportunities, or automating manual workflows. Youll be hands-on across the entire data science lifecycle: wrangling data, building and deploying machine learning models, and supporting the MLOps and infrastructure needed to scale solutions across the organization.

This is a high-impact role for someone who blends deep technical skill with business curiosityand who is passionate about deploying ML models and analytics into the real world.

Key Responsibilities

• Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e.g., Snowflake, Databricks). Design robust pipelines that feed into analytics and ML workflows.
• Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets. Translate business questions into data requirements and analytics plans.
• Machine learning development: Build, tune, and validate predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow.
• Cross-functional partnership: Collaborate with marketing, sales, and product teams to scope business use cases, define success metrics, and integrate models into operational workflows.
• Model deployment & MLOps: Deploy and manage models using MLflow, Docker and CI/CD pipelines. Implement versioning, testing, performance monitoring, and retraining strategies as part of a robust MLOps practice.
• Infrastructure support: Work with data engineering and DevOps teams to maintain and improve model training and deployment infrastructure, including compute resources, workflow orchestration and environment configuration.
• Insight delivery: Build clear, actionable reporting and visualizations using tools like Power BI or Tableau. Focus on impact, not just analysis.

Minimum Qualifications

• Bachelors degree in Data Science, Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in a data science, ML engineering, or analytics role.
• Strong SQL, Python and ML Techniques programming skills.
• Experience with Azure Cloud, Databricks, and/or Snowflake.
• Experience building and deploying machine learning models in production environments. Hands-on experience with Databricks, including SparkML, and MLflow integration.
• Familiarity with MLOps best practices, including version control, model monitoring, and automated testing.
• Experience with tools such as Git, MLflow, Docker and workflow schedulers.
• Ability to communicate complex technical work to non-technical stakeholders.
• Experience with scalable model training environments and distributed computing.

Preferred Qualifications

• Masters degree in a quantitative or technical discipline.
• Experience in financial services, fintech, or enterprise B2B analytics.
• Knowledge of A/B testing, causal inference, and statistical experimentation.
• Familiarity with GenAI, LLM pipelines, and vector-based retrieval is a plus and platform like Snowflake Cortex.

Compensation and Benefits

Compensation

The base salary range reflects the expected hiring range for this position in the listed location. In addition to base salary, Voya offers incentive opportunities based on role to reward annual performance objectives. Actual compensation offered may vary based on geographic location, experience, education, licensure requirements, and skill level. Salaries for part-time roles will be prorated.

$97,160 - $152,880 USD

Be Well. Stay Well.

Voya provides resources that support physical, financial, social and emotional well-being. Our benefits include plans, programs, tools and resources designed to help you and your family be well and stay well.

What We Offer

• Health, dental, vision and life insurance plans
• 401(k) Savings plan with generous company matching contributions (up to 6%)
• Voya Retirement Plan employer paid cash balance retirement plan (4%)
• Tuition reimbursement up to $5,250/year
• Paid time off including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
• Paid volunteer time 40 hours per calendar year

Learn more about Voya benefits.

Critical Skills

• Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
• Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
• Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
• Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
• Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Equal Employment Opportunity

Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Reasonable Accommodations

Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

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