About the role

  • Design, create, document, and maintain user-friendly and purpose-built data products for use by models and non-technical end users.
  • Develop, train, and deploy models using Snowflake Cortex, Snowpark, and integrated Python execution.
  • Own the end-to-end model lifecycle: experimentation, feature engineering, validation, production deployment, and monitoring.
  • Work closely with our underwriting, claim, actuarial, and analyst teams to translate business needs into data science solutions.
  • Partner with data engineering to ensure the availability and readiness of Snowflake-based datasets for modeling and inference.
  • Contribute to the development of model governance, reusability standards, and operational monitoring frameworks.
  • Stay current on Snowflake’s evolving capabilities to ensure model development aligns with platform best practices.
  • Assist in building a shared foundation for data science best practices and help inform future tooling and infrastructure investments.

Requirements

  • 3–5 years of hands-on experience in applied data science or machine learning roles.
  • Proficiency in Python (e.g., scikit-learn, XGBoost, pandas) and SQL.
  • Experience developing and deploying models in Snowflake using Snowpark, Cortex, or similar cloud-native tools.
  • Strong understanding of supervised learning, feature engineering, and model performance evaluation.
  • Proven ability to work cross-functionally with both technical and non-technical stakeholders.
  • Excellent problem-solving, communication, and documentation skills.
  • In-office requirement of 3 days minimum in our Peoria or Chicago office.

Benefits

  • Health insurance
  • 401(k) — automatic 3% company contribution
  • Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings)
  • Paid time off (PTO) and holidays
  • Paid volunteer time off (VTO) to support our communities
  • Parental and family care leave
  • Flexible & hybrid work arrangements
  • Fitness center discounts and free virtual fitness platform
  • Employee assistance program
  • Comprehensive medical, dental and vision benefits
  • Flexible spending and health savings accounts
  • 2x base salary for group life and AD&D insurance
  • Voluntary life, critical illness, & accident insurance for purchase
  • Short-term and long-term disability benefits
  • Training & certification opportunities
  • Tuition reimbursement
  • Education bonuses

Job title

Senior Data Scientist

Job type

Experience level

Senior

Salary

$107,411 - $156,551 per year

Degree requirement

Bachelor's Degree

Location requirements

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