Principal Data Science

Job Description

At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both.

We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.

Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.

This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.

Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.

Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights.

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.

Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking;

identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.

Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.

Lead the development of Analytical capabilities with the aim of creating long-term strategic data / analytics assets for the company.

Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.

Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.

Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.

Continuously improves technical and leadership skills through training and development.

Minimum Qualifications

At a minimum, here’s what we need from you :

Bachelor’s Degree in Analytics, Engineering, Statistics or related field

6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling / Data Science or related field

Preferred Qualifications

If we had our say, we’d also look for :

Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field

4+ years of 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-18-2024. 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 $126,500.00 to $177,300.00. 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.