Data Scientist Senior Associate
hackajob
•
Columbus, OH
0
0
0
0
Not Applicable
Posted March 26, 2026
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Responsibilities
Commitments
Responsibilities
- Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications.
- Build and maintain APIs to enable seamless integration of AIML models with business applications.
- Use your programming skills in Python and design integrated solutions using the latest technology.
- Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions.
- Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management.
- Build and iterate on prototype solutions.
- Develop robust, production-ready code for AIML models and analytical applications.
- Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions.
- Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest.
- Ensure alignment with Firm wide policies and standards governing AIML solutions.
Commitments
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products.
These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
Not Met Priorities
What still needs stronger evidence
Requirements
- 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG).
- Strong Proficiency in Python.
- Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis.
- Proficiency with data table operations (SQL, etc.).
- Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx.
- Demonstrated knowledge of data architecture that is ideal for generative AI solutions.
- Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.
Preferred Skills
- Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.
Education
- (Not required) – As a Data Science Senior Associate, you'll develop scalable tools that integrate Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank Anti Money Laundering (AML) and Know Your Customer (KYC) Product.
- (Not required) – Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science).
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
Job Description
Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems?
As a Data Science Senior Associate, you'll develop scalable tools that integrate Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank Anti Money Laundering (AML) and Know Your Customer (KYC) Product.
Job Responsibilities
Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications.
Build and maintain APIs to enable seamless integration of AIML models with business applications.
Use your programming skills in Python and design integrated solutions using the latest technology.
Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions.
Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management.
Build and iterate on prototype solutions.
Develop robust, production-ready code for AIML models and analytical applications.
Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions.
Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest. Ensure alignment with Firm wide policies and standards governing AIML solutions.
Required Qualifications, Capabilities And Skills
Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science).
5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG).
Strong Proficiency in Python.
Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis.
Proficiency with data table operations (SQL, etc.).
Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx.
Demonstrated knowledge of data architecture that is ideal for generative AI solutions.
Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.
ABOUT US
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Job Description
Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems?
As a Data Science Senior Associate, you'll develop scalable tools that integrate Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank Anti Money Laundering (AML) and Know Your Customer (KYC) Product.
Job Responsibilities
Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications.
Build and maintain APIs to enable seamless integration of AIML models with business applications.
Use your programming skills in Python and design integrated solutions using the latest technology.
Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions.
Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management.
Build and iterate on prototype solutions.
Develop robust, production-ready code for AIML models and analytical applications.
Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions.
Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest. Ensure alignment with Firm wide policies and standards governing AIML solutions.
Required Qualifications, Capabilities And Skills
Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science).
5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG).
Strong Proficiency in Python.
Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis.
Proficiency with data table operations (SQL, etc.).
Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx.
Demonstrated knowledge of data architecture that is ideal for generative AI solutions.
Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.
ABOUT US
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.