Voya Financial
Overview
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. Compensation & Benefits
Voya is committed to fair and equitable pay. The annual base salary range for this position varies by location. The description below reflects the expected hiring range for this posting. In addition to base salary, Voya offers incentive opportunities based on role to reward performance. Actual compensation may vary based on location, experience, education, licensure and skill level. Salaries for part-time roles will be prorated accordingly. Base salary example ranges:
$97,160 - $152,880 USD What We Offer
Health, dental, vision and life insurance plans 401(k) Savings plan with company matching Voya Retirement Plan employer paid cash balance retirement plan Tuition reimbursement up to $5,250/year Paid time off 20 days PTO, nine company holidays, and a Diversity Celebration Day Paid volunteer time 40 hours per year Equal Employment Opportunity
Voya Financial is an equal-opportunity employer. We provide equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, marital status, sexual orientation, gender identity, genetic information, or any other status protected by law. Reasonable Accommodations
Voya is committed to the inclusion of all qualified individuals. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, or to receive other benefits and privileges of employment, please reference the resources for applicants with disabilities. Misuse of Voya's name in fraud schemes Job Details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Insurance and Financial Services
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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. Compensation & Benefits
Voya is committed to fair and equitable pay. The annual base salary range for this position varies by location. The description below reflects the expected hiring range for this posting. In addition to base salary, Voya offers incentive opportunities based on role to reward performance. Actual compensation may vary based on location, experience, education, licensure and skill level. Salaries for part-time roles will be prorated accordingly. Base salary example ranges:
$97,160 - $152,880 USD What We Offer
Health, dental, vision and life insurance plans 401(k) Savings plan with company matching Voya Retirement Plan employer paid cash balance retirement plan Tuition reimbursement up to $5,250/year Paid time off 20 days PTO, nine company holidays, and a Diversity Celebration Day Paid volunteer time 40 hours per year Equal Employment Opportunity
Voya Financial is an equal-opportunity employer. We provide equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, marital status, sexual orientation, gender identity, genetic information, or any other status protected by law. Reasonable Accommodations
Voya is committed to the inclusion of all qualified individuals. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, or to receive other benefits and privileges of employment, please reference the resources for applicants with disabilities. Misuse of Voya's name in fraud schemes Job Details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Insurance and Financial Services
#J-18808-Ljbffr