Lead Data Science Analyst

Role Description

Responsible for working closely with management to execute analytical initiatives.

• Solving business problems by leveraging techniques such as segmentation, optimization, advanced analytics, and machine learning.
• Creating reports and dashboards to closely monitor performance metrics and provide insights.
• Actively managing and escalating risk and customer-impacting issues within the day-to-day role to management.

How You’ll Do It:

• Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, and machine learning algorithms & recommendations to solve business problems.
• Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
• Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.
• Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
• Establishes and maintains effective performance tracking; identifies improvement opportunities, forms hypotheses, proposes, designs, and implements tests to drive strategy enhancement and optimization.
• Manages multiple priorities, communicates business performance and project progress to management & business partners.
• Develops and automates reports, iteratively builds and prototypes dashboards to provide insights at scale, solving for analytical needs.
• Facilitates implementation of work product and ensures accuracy.
• Consistently follows standard work processes and documentation requirements.
• Recommends improvements to work processes to increase efficiency while maintaining quality of work.
• Continuously improves technical and leadership skills through training and development.

Qualifications

• Bachelor’s in Analytics, Engineering, Statistics or related field.
• 4+ Years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.

Requirements

• Primarily remain in a stationary position.
• No required movement about the work environment to complete the major responsibilities of the job.
• Primarily performed indoors in an office setting.
• Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator.
• Ability to communicate verbally.
• Ability to communicate in written form.

Benefits

• 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