Analyze large, complex datasets to identify trends, patterns, and insights that inform business and product decisions
Design, develop, and deploy statistical models and machine learning algorithms
Build and maintain data pipelines, feature engineering processes, and analytical workflows
Partner with cross‑functional teams to define data requirements, KPIs, and success metrics
Translate technical findings into clear, compelling insights for technical and non‑technical audiences
Support experimentation, A/B testing, and model validation and monitoring
Contribute to data science best practices, documentation, and model governance
Mentor junior team members and contribute to a strong data science culture

A bachelor’s is required
Strong experience in data science, analytics, or applied machine learning
Minimum one (1) year of experience with Python and/or R for data analysis and modeling, or a Master’s degree in a related field, and or internship may be considered as equivalent experience
Strong SQL skills and experience working with relational and analytical databases
Solid foundation in statistics, probability, and predictive modeling
Experience working with both structured and unstructured data
Ability to collaborate effectively in a cross‑functional, fast‑paced environment

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

Data Scientist

Key skills