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Senior Data Scientist

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Edward Jones
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140400 - 239100 USD Yearly USD 140400.00 239100.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

Want a meaningful career where you can make a difference? Edward Jones sounds perfect for you.

Collaboration. Autonomy. Opportunity. Words our headquarters associates use when talking about working at Edward Jones. Words that describe what it’s like being part of a firm where everyone is aligned toward a singular focus: serving the client. And everyone is working to make the firm better together – as they grow as individuals. If these words resonate with you, we should talk.

Job

Overview

Position

Schedule:

Full‑Time

This job posting is anticipated to remain open for 30 days, from 06-Jan-2026. The posting may close early due to the volume of applicants.

Join the Firm Analytics team and help us unlock the power of data science to solve a wide range of business challenges and improve the people‑experience through data‑driven capabilities and insights. As a Senior Data Scientist on our team, you will design, develop and deliver data science solutions requiring advanced mathematical methods, statistical and machine learning models in support of data‑driven strategies.

You will combine data from multiple sources to develop innovative solutions to business problems and collaborate with business partners and other data scientists to develop tailored analytic solutions that inform and influence business decisions across the firm. If you thrive in a collaborative environment, have a learning mindset, and can communicate complex ideas in a straightforward way, this could be the role for you to make a real impact.

Key Responsibilities
  • Work closely with business partners and other data scientists to translate their ideas and requirements into well‑formed machine learning problems that enable hyper‑personalized experiences for our financial advisors and clients.
  • Interpret and communicate findings and recommendations to stakeholders, translating solutions into meaningful value propositions. Clear communication without technical jargon is important to success.
  • Partner with data engineers and digital product owners to scale and deploy your models into systems.
  • Act as a mentor and help your teammates learn and grow.
  • Stay up to date with industry trends and best practices in optimization techniques and tools.
  • Collaborate on and advocate for adoption of best practices and cutting‑edge methods within the team.

Edward Jones’ compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short‑ and long‑term disability, basic life, and basic AD&D coverage. Short‑ and long‑term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401(k) retirement plan, and tax‑advantaged accounts: health savings account, and flexible spending account.

Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm’s Employee Assistance Program. For more information on the benefits available to Edward Jones associates, please visit our benefits page.

Hiring

Minimum

$140,400

Hiring Maximum

$239,100

Skills/Requirements
  • Master of Science Degree in Statistics, Applied Mathematics, Industrial Engineering, Computer Science or related field required. PhD degree desired.
  • 9+ years professional experience with predictive statistical models or numerical optimization, and working with typical data used in such analyses.
  • Strong programming skills in one or more programming languages (Python, R, Scala) with demonstrated ability to mentor others at lower skill levels.
  • Familiarity with cloud computing platforms and distributed systems for large‑scale data processing.
  • Skilled in manipulating data in one or more of (SQL, Snowflake, Databricks).
  • Demonstrated ability to translate data into meaningful value propositions for business partners to facilitate understanding and generate solutions that are in the best interest of the client and firm.
Internal Applicants Only
  • Candidates…
Position Requirements
10+ Years work experience
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