Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist - Senior Associate
Columbus, OH, United States
Actively hiring, first seen by us 4 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingOwn analyses and reports end to end
Translate business questions into data-driven approaches
Deliver diagnostic deep dives, forecasting, and performance reporting
Summarize data results in a non-technical manner for business partners
Build relationships with product managers and functional partners
From the employer’s posting
Own the development and execution of analyses and reports end to end
Translate business questions into data-driven approaches
Deliver diagnostic deep dives, forecasting, and performance reporting that leaders can act on
Summarize data results in a non-technical manner for business partners
Build strong relationships with product managers and functional partners
What you’ll bring
All qualificationsCore experience
- Three years of experience in data science or quant analytics
- Advanced SQL skills for transformation, validation and aggregation
- Experience across on-premises and cloud database platforms
- Bachelor's degree in a quantitative discipline
- Clear communication and presentation skills
Qualification wording
Three years of experience in data science or quant analytics
Advanced SQL skills, including data transformation, discovery, validation, de-duplication, aggregation, edge-case identification, and data structure transformation
Experience working across multiple database platforms, both on-premises (e.g., Teradata, Oracle) and cloud-based (e.g., AWS, Snowflake)
Bachelor's degree in a relevant quantitative discipline
Clear communication and presentation skills, with the ability to articulate complex issues concisely
Education & alternatives
Required qualifications, capabilities, and skills Bachelor's degree in a relevant quantitative discipline with a focus on data engineering, data warehousing, computer science, and/or data-driven analytics Three years of experience in data science or quant analytics Advanced SQL skills, including data transformation, discovery, validation, de-duplication, aggregation, edge-case identification, and data structure transformation Experience working across multiple database platforms, both on-premises (e.g., Teradata, Oracle) and cloud-based (e.g., AWS, Snowflake) Clear communication and presentation skills, with the ability to articulate complex issues concisely Strong organizational skills, attention to detail, and a structured approach to writing code and documentation Experience leveraging large language models to comment, optimize, and debug code for improved development efficiency Preferred qualifications, capabilities, and skills Familiarity with banking products, including Deposit (Checking, Savings, CDs) and Cash Management (ACH, Remote Check Deposit, Positive Pay)
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20264 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 4
Early. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
JPMorgan Chase is hiring
413 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is steady
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- AWS
- Oracle
- Snowflake
Where the posting names them
Required qualifications, capabilities, and skills Bachelor's degree in a relevant quantitative discipline with a focus on data engineering, data warehousing, computer science, and/or data-driven analytics Three years of experience in data science or quant analytics Advanced SQL skills, including data transformation, discovery, validation, de-duplication, aggregation, edge-case identification, and data structure transformation Experience working across multiple database platforms, both on-premises (e.g., Teradata, Oracle) and cloud-based (e.g., AWS, Snowflake) Clear communication and presentation skills, with the ability to articulate complex issues concisely Strong organizational skills, attention to detail, and a structured approach to writing code and documentation Experience leveraging large language models to comment, optimize, and debug code for improved development efficiency Preferred qualifications, capabilities, and skills Familiarity with banking products, including Deposit (Checking, Savings, CDs) and Cash Management (ACH, Remote Check Deposit, Positive Pay)
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Use your Data Science skills to shape sales strategy and deliver measurable outcomes through data-driven insights. You'll partner closely with business stakeholders to design, execute, and track strategic initiatives—turning complex analysis into clear decisions. If you enjoy working collaboratively, communicating clearly, and solving ambiguous problems with rigor, this role offers meaningful impact and growth.
Job summary
As a Data Scientist within the Business Banking Deposit & Cash Management Product Analytics team, you provide data-driven insights to product managers that ultimately impact millions of small business customers. You act as a consultant to understand business problems, build the framework for the best data-driven solution, run the analysis, and review results with partners. Your work helps us better understand customer behaviors, identify opportunities, and improve customer engagement and operational efficiency job-template-shortened-12-05-24-pdf.pdf.
This team directly supports Deposit products (Checking, Savings, CDs) and Cash Management products (such as ACH, Remote Check Deposit, and Positive Pay). You will directly contribute to developing new banking products, modifying existing ones, establishing proper controls, and running benchmarking with third-party companies.
Job responsibilities
Build strong relationships with product managers and functional partners
Own the development and execution of analyses and reports end to end
Summarize data results in a non-technical manner for business partners
Translate business questions into data-driven approaches
Deliver diagnostic deep dives, forecasting, and performance reporting that leaders can act on
Maintain a strong focus on sound controls and data quality
Required qualifications, capabilities, and skills
Bachelor's degree in a relevant quantitative discipline with a focus on data engineering, data warehousing, computer science, and/or data-driven analytics
Three years of experience in data science or quant analytics
Advanced SQL skills, including data transformation, discovery, validation, de-duplication, aggregation, edge-case identification, and data structure transformation
Experience working across multiple database platforms, both on-premises (e.g., Teradata, Oracle) and cloud-based (e.g., AWS, Snowflake)
Clear communication and presentation skills, with the ability to articulate complex issues concisely
Strong organizational skills, attention to detail, and a structured approach to writing code and documentation
Experience leveraging large language models to comment, optimize, and debug code for improved development efficiency
Preferred qualifications, capabilities, and skills
Familiarity with banking products, including Deposit (Checking, Savings, CDs) and Cash Management (ACH, Remote Check Deposit, Positive Pay)
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Columbus, OH, United States
As a Data Scientist within the Business Banking Deposit & Cash Management Product Analytics team, you provide data-driven insights to product managers that ultimately impact millions of small business customers. You act as a consultant to understand business problems, build the framework for the best data-driven solution, run the analysis, and review results with partners. Your work helps us better understand customer behaviors, identify opportunities, and improve customer engagement and operational efficiency job-template-shortened-12-05-24-pdf.pdf. This team directly supports Deposit products (Checking, Savings, CDs) and Cash Management products (such as ACH, Remote Check Deposit, and Positive Pay). You will directly contribute to developing new banking products, modifying existing ones, establishing proper controls, and running benchmarking with third-party companies. Job responsibilities
More source context
Bachelor's degree in a relevant quantitative discipline with a focus on data engineering, data warehousing, computer science, and/or data-driven analytics Three years of experience in data science or quant analytics Advanced SQL skills, including data transformation, discovery, validation, de-duplication, aggregation, edge-case identification, and data structure transformation Experience working across multiple database platforms, both on-premises (e.g., Teradata, Oracle) and cloud-based (e.g., AWS, Snowflake) Clear communication and presentation skills, with the ability to articulate complex issues concisely Strong organizational skills, attention to detail, and a structured approach to writing code and documentation Experience leveraging large language models to comment, optimize, and debug code for improved development efficiency Preferred qualifications, capabilities, and skills Familiarity with banking products, including Deposit (Checking, Savings, CDs) and Cash Management (ACH, Remote Check Deposit, Positive Pay)
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.