Lead Data Science Analyst (multiple openings) IHM

extra holidays
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Analytics, Engineering, Mathematics, Statistics, or related field., 4 years of experience in Data Science or related occupation, or 2 years with a Master's degree., Proficiency in Python and SQL for data analysis., Experience with data visualization tools like Power BI or Tableau..

Key responsibilities:

  • Lead development and implementation of advanced analytics solutions.
  • Operate as a subject matter expert on statistical analysis and modeling.
  • Design and analyze experiments to solve business problems.
  • Collaborate with teams to build reports and dashboards.

Discover Financial Services logo
Discover Financial Services Financial Services XLarge http://www.discover.com/
10001 Employees
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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 worlds 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:

Employer: Discover Products Inc

Job Title: Lead Data Science Analyst (multiple openings)

Job Location: Riverwoods, Illinois

Job Type: Full Time

Duties: 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. Telecommuting andor working from home may be permissible pursuant to company policies.

Requirements: Employer will accept a Bachelors degree in Analytics, Engineering, Mathematics, Statistics or related field and 4 years of experience in the job offered or in a Data Sciencerelated occupation. Alternatively, employer will accept a Masters degree in Analytics, Engineering, Mathematics, Statistics or a related field and 2 years of experience in the job offered or in a Data Sciencerelated occupation.

Position required skills: Position requires: Data analysis tools including Python and SQL; Working with on premise or cloudbased data tools including Teradata, Snowflake, or Jupyter Notebook; Data Visualization, building reports and dashboards using Power BI, Tableau, VLOOKUP, Pivot Tables, Macros and MS Excel; Cloud tools including Airflow, GitHub, and AWS Containers; Databases including Oracle and Postgres; and Financial domain knowledge. Skills may be gained during degree program.

Position eligible for incentives under Employee Referral Program

Rate of Pay: The base pay for this position generally ranges between $116,334.00 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; STD, Life, LTD and AD&D; Recognition Program; Education Assistance; Commuter Benefits; Family Support Programs; Employee Stock Purchase Plan. Learn more at mydiscoverbenefits.com.

QUALIFIED APPLICANTS: Please apply directly through our website by clicking on “Apply Now.”

Application Deadline:

The application window for this position is anticipated to close on Sep082025. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.

Benefits:

We also offer a range of benefits and programs based on eligibility. These benefits include:

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Microsoft Excel
  • Collaboration
  • Problem Solving

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