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Lead Data Science Analyst Job Opening In Riverwoods – Now Hiring Discover


Job 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.

**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 Analytics, Engineering, Statics or related.
+ 4+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related

**Bonus Points If You Have**

+ Masters Analytics, Engineering, Mathematics or Statistics
+ Marketing and/or Operations experience
+ Experience in SQL, Python and Tableau

**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.
+ No
+ 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 form.
+ Travel Requirements - No

_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._

**Application Deadline:**

The application window for this position is anticipated to close on Sep-03-2025.

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

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, a division of Capital One, N.A., 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) (https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal)

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.

At Discover, we are committed to creating an inclusive and equitable workplace through our Fair Chance Hiring practices.

Fair Chance Hiring means that we base our hiring decisions on an applicant’s qualifications rather than their criminal record.

All our positions are subject to Section 19 of the Federal Deposit Insurance Act.

Our applicants go through a background check, and we follow all applicable local laws, including the Los Angeles County Fair Chance Hiring Ordinance (LA County Fair Chance (https://dcba.lacounty.gov/fairchance/) ).

Positions marked as remote eligible are limited to remote locations within the country in which the position is based.

Applicants must be 18 or older at the time of hire.


Required Skill Profession

Other General


  • Job Details

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Unlock Your Lead Data Potential: Insight & Career Growth Guide


Real-time Lead Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Lead Data in Riverwoods, United States, highlighting market share and opportunities for professionals in Lead Data roles.

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25 Jobs in Riverwoods
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Are You Looking for Lead Data Science Analyst Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Discover adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Lead Data Science Analyst Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Riverwoods. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead Data Science Analyst?

Key qualifications for Lead Data Science Analyst typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Lead Data Science Analyst?

To improve your chances of getting hired for Lead Data Science Analyst, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Lead Data Science Analyst Job Success

Discover interview tips for Lead Data Science Analyst

Here are some tips to help you prepare for and ace your Lead Data Science Analyst job interview:

Before the Interview:

Research: Learn about the Discover's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Data Science Analyst interview at Discover, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Discover's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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