Senior Data Scientist
Listed on 2026-01-10
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IT/Tech
Data Scientist, Data Analyst
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 a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we’re proud to be privately‑owned, placing the focus on our clients rather than shareholder returns.
Behind everything we do is our purpose:
We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging.
People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career.
Senior Data Scientist (Firm Analytics Team)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.
- 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.
- 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.
Current home‑based associates:
While this role is posted as hybrid, if selected and accepted, you may retain your home‑based status. Edward Jones intends in good faith to continue offering the role as home‑based, though future business or regulatory needs may require on‑site work.
*** Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday.
Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy,…
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