Lead Data Science Analyst
Lead Data Science Analyst
Discover Financial Services
Riverwoods, IL
See who Discover Financial Services has hired for this role
Pay found in job post
Retrieved from the description.
Base pay range
$102,500.00/yr - $143,300.00/yr
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
Discover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problems 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.
Responsibilities
At a minimum, here’s what we need from you:
If we had our say, we’d also look for:
Application Deadline
The application window for this position is anticipated to close on Aug-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:
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.
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
Discover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problems 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.
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.
At a minimum, here’s what we need from you:
- Bachelor's Degree in Analytics, Engineering, or Statistics or related.
- 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
If we had our say, we’d also look for:
- Master's Degree in Analytics, Engineering, Mathematics or Statistics or related.
- 2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
- SQL, Python and Visualization tool such as Tableau or Stremlit.
Application Deadline
The application window for this position is anticipated to close on Aug-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
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.
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Information Technology -
Industries
Financial Services, Banking, and Hospitality
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