About the Role
We’re seeking a Data Scientist to lead predictive modeling and statistical analysis across domains such as risk and fraud. The ideal candidate will bring strong expertise in data mining and analytics to deliver impactful insights and scalable solutions.
ResponsibilitiesBuild and deploy machine learning models using R, Python, SAS, and SQL.
Develop cloud-based analytic solutions and integrate them into enterprise systems.
Analyze large datasets to uncover insights and support product development.
Collaborate with stakeholders to validate scoring code and ensure model accuracy.
Document methodologies and follow best practices in statistical modeling.
Computer Science, Statistics, Mathematics, or related field
Experience in predictive modeling.
Proficiency in SAS, R, Python, and Big Data technologies.
Strong communication skills and ability to work cross-functionally.
Fraud analytics experience is a plus.
Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
Data Scientist • Minneapolis, MN
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