Principal Data Science

About the Role

Key Responsibilities

• Responsible for working closely with management to execute analytical initiatives.
• Provide thought leadership & strategic thinking to solve business problems using techniques such as segmentation, optimization, advanced analytics, and machine learning.
• Monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
• Actively manage and escalate risk and customer-impacting issues within the role to management.
• Translate business problems into analytical frameworks and recommend actions and insights.
• Collaborate with cross-functional partners to understand business needs, gather data, perform analysis, and deliver presentations.
• Establish and maintain performance tracking, identify improvement opportunities, and design tests to enhance strategy.
• Lead development and implementation of advanced analytics including customer segmentation, prescriptive analytics, and machine learning algorithms.
• Develop analytical capabilities to create long-term strategic data/analytics assets.
• Deliver presentations of findings and recommendations to leadership, including visual displays of data.
• Develop and automate reports, build dashboards, and provide insights at scale.
• Follow standard work processes, recommend process improvements, and continuously improve technical and leadership skills.

Requirements

• Bachelor's degree in Analytics, Engineering, Statistics, or related field.
• 6+ years of work experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related areas.
• Proficiency in statistical analysis, experimental design, modeling, and financial impact analysis.
• Ability to collaborate with cross-functional teams and translate business needs into analytical solutions.
• Strong communication skills for delivering presentations and visualizations.
• Ability to operate office equipment and communicate verbally and in writing.

Nice to Have

• Master's degree in Analytics, Engineering, Statistics, Mathematics.
• Previous experience in Payments or Financial Services.

Qualifications

• Educational background as specified in requirements.
• Experience in relevant analytics and risk management areas.

Benefits & Perks

• Paid Parental Leave
• Paid Time Off
• 401(k) Plan
• Medical, Dental, Vision, & Health Savings Account
• Short and Long Term Disability, Life, and Accidental Death & Dismemberment insurances
• Recognition Program
• Education Assistance
• Commuter Benefits
• Family Support Programs
• Employee Stock Purchase Plan