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Analytics

Lead Data Science Analyst

in office job In-Office: Riverwoods, Illinois
job reference number R38306

About This Role

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:

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 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.

Responsibilities

  • 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.

Minimum Qualifications

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

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

Preferred Qualifications

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

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

Application Deadline:

The application window for this position is anticipated to close on Jul-14-2024. 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 $102,500.00 to $143,300.00. 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 mydiscoverbenefits.com.

What are you waiting for? Apply today!

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. (Know Your Rights & Pay Transparency Nondiscrimination Provision)

Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email HireAccommodation@discover.com. Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.

Learning & Development

Never get tired of learning

Mentors, a Tech Academy, Shine Brighter U: there are all sorts of ways to develop as part of our team. We hope they inspire you to grow. After all, brighter futures are what we’re all about.

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Rewards & Benefits

With our benefits, life’s easier – which means you’re free to grow

Join us and you can expect a whole lot of rewards. From Health and insurance to on-site fitness centers, there’s everything you need to thrive – in and out of work.

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Testimonials

Hear about life in Analytics & Data Science from our team

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Diversity, Equity & Inclusion

Feel at home in a business where everyone accepts everyone

When you feel at home in a team, there’s nothing you can’t achieve. With our Diversity, Equity & Inclusion (DE&I) program and 10 Employee Resource Groups, everyone belongs.

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Application Process

A step-by-step guide to kicking off a career with us.

Step one

Submit your application

Step two

Join us for an interview

Step three

Receive your offer (subject to screening)

Step four

Enjoy our on-boarding experience

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