Lead Data Science Analyst

 

Description:

Discover. A brighter future.

With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.

Come build your future, while being the reason millions of people find a brighter financial future with Discover.

Job Description

What You'll Do

Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.

Actively manages and escalates 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 algorithm & recommendation 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; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
  • Manages multiple priorities, communicate business performance and project progress to management & business partners.
  • Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
  • 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.
     

Qualifications You'll Need

The Basics
 

  • Bachelors degree in Analytics, Engineering, Statistics, or related
  • 4+ years work experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
     

Physical And Cognitive Requirements

The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws:
 

  • 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 for.
     

Bonus Points If You Have
 

  • Masters degree in Analytics, Engineering, Mathematics, Statistics or related.
     

Application Deadline

The application window for this position is anticipated to close on Jun-16-2025. 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 $105,500.00 to $147,100.00. 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
  • Short and Long Term Disability, Life, and Accidental Death & Dismemberment insurances
  • Recognition Program
  • Education Assistance
  • Commuter Benefits
  • Family Support Programs
  • Employee Stock Purchase Plan

Organization Discover
Industry IT / Telecom / Software Jobs
Occupational Category Lead Data Science Analyst
Job Location Illinois,USA
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Experienced Professional
Experience 4 Years
Posted at 2025-06-12 3:39 pm
Expires on 2026-01-07