Senior Data Science Analyst

Job Description

This position offers a great opportunity to work in emerging first-party fraud strategy team preventing fraudsters from harming Discover businesses including card, deposit and personal loan at application stage by utilizing advanced analytics.

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

Application Deadline :

The application window for this position is anticipated to close on Jun-16-2024. We encourage you to apply as soon as possible.

The posting may be available past this date, but it is not guaranteed.

Compensation :

The base pay for this position generally ranges between $85,500.00 to $119,500.00. 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

Learn more at .

All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.

Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status.