2024 AARC Senior Data Science Analyst

Key Skills

Advanced Analytics, Credit Risk, Data Modeling, Data science techniques, Design, Fraud Risk, Marketing analytics, Optimization

Job Description

About This Role

At Discover, you will never stop learning. We are looking for people driven by purpose, who want to help us change the game in financial services. We were founded in 1986, and now have over 16,000 employees. Together we are dedicated to helping people spend smarter, manage debt better and save more for a brighter financial future. 

By joining us, you will be part of a culture where diversity, teamwork and collaboration reign. We are as focused on our employees as we are on our customers – and we have been consistently awarded for both. Be the reason we help millions of people build a brighter financial future, and achieve yours along the way.

Job Description:

What You'll Do

• Work closely with management to execute analytical initiatives.
• Solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.
• Create reports and dashboards to closely monitor performance metrics and provide insights.

How You'll Do It

• Develop advanced analytics solutions including customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems. Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.
• Collaborate with cross-functional partners to understand their business needs, formulated and completed end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
• Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
• Manage multiple priorities, communicate business performance and project progress to management & business partners.
• Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitate implementation of work product and ensure accuracy.
• Consistently follow standard work processes and documentation requirements. Recommend improvement to work processes to increase efficiency while maintaining quality of work. Continuously improve technical and leadership skills through training and development.

Qualifications You'll Need

The Basics

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

Bonus Points If You Have

• Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field
• Experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field

Compensation:

The base pay for this role is $103,000.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.

Benefits:

We also offer a range of benefits and programs based on eligibility. These benefits include:

• Paid Parental Leave
• Paid Time Off
• 401(k) Plan
• Medical, Dental, Vision, & Health Savings Account
• STD, Life, LTD and AD&D
• Recognition Program
• Education Assistance
• Commuter Benefits
• Family Support Programs
• Employee Stock Purchase Plan