Scientist Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase hires Scientists across quantitative research, data science, and applied modeling functions, and the company has a well-established process for sponsoring work visas across multiple categories. If you're targeting a Scientist role here, you're looking at one of the more active sponsors in financial services.
See All Scientist at JPMorganChase JobsOverview
Showing 5 of 28+ Scientist Jobs at JPMorganChase jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 28+ Scientist Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scientist Jobs at JPMorganChase.
Get Access To All JobsJOB DESCRIPTION
Join the team that is a key contributor in measuring and optimizing the ecosystem of customer-initiated activities that connects customer signals to banker interactions and business outcomes.
As a Data Scientist Senior Associate, within the Customer Journey and Experimentation Team, you will focus on answering questions such as: what types of customer-initiated activities are driving the most value, how can we measure and optimize the performance of handraisers across channels, and how do we lay the groundwork for customer journey analysis and multi-touch attribution to prioritize our bankers' time effectively.
Job Responsibilities:
- Analyze the performance and value of customer activities to understand what customers are doing and the downstream business impact.
- Develop measurement frameworks and lay the analytical groundwork for customer journey analysis and multi-touch attribution by mapping touchpoints and building pipelines that connect customer signals to banker interactions and outcomes.
- Support the development of data-driven strategies to help bankers focus their time on the highest-value customer interactions, analyzing patterns in customer-initiated activity to identify which customer signals are most predictive of meaningful engagement and conversion.
- Apply strong programming skills to extract, integrate, and transform data from diverse sources into cohesive analytical solutions that enable rigorous, data-driven decision-making.
- Deliver clear, well-structured analyses, ad-hoc reporting, and presentations that translate technical findings into intuitive business language for senior stakeholders.
Required Qualifications, Capabilities, and Skills:
- Bachelor's degree with 3+ years of experience in an analytics, data science, or business intelligence role, with demonstrated ability to work end-to-end from data extraction through insight delivery.
- Strong SQL skills with experience writing complex queries to pull, transform, and summarize large datasets across relational databases (Teradata experience preferred).
- Exposure to measurement and testing methodologies (e.g., A/B testing, incrementality measurement, test/learn frameworks) and familiarity with modern data platforms including Hadoop, AWS, or Snowflake.
- Proficiency in Python for data manipulation, analysis, and automation.
- High standards for work quality with meticulous attention to detail, ensuring accuracy and rigor across all analytical outputs and deliverables.
- Strong business intuition — demonstrated ability to think beyond raw data and understand the underlying business context, with a focus on practically solving real business problems.
- Effective communication skills — ability to relay findings clearly and concisely to senior stakeholders and cross-functional partners from a variety of business functions, translating business requests into analytical strategies.
- Experience with data visualization tools such as Tableau or similar platforms for building clean, actionable dashboards.
Preferred Qualifications, Capabilities, and Skills:
- Knowledge of customer journey analytics, multi-touch attribution, or marketing analytics concepts.
- Interest in or experience with statistical and machine learning techniques and their practical business applications.
- PySpark experience is a plus.
- Financial services experience is a plus, but not required.
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
Join the team that is a key contributor in measuring and optimizing the ecosystem of customer-initiated activities that connects customer signals to banker interactions and business outcomes.
As a Data Scientist Senior Associate, within the Customer Journey and Experimentation Team, you will focus on answering questions such as: what types of customer-initiated activities are driving the most value, how can we measure and optimize the performance of handraisers across channels, and how do we lay the groundwork for customer journey analysis and multi-touch attribution to prioritize our bankers' time effectively.
Job Responsibilities:
- Analyze the performance and value of customer activities to understand what customers are doing and the downstream business impact.
- Develop measurement frameworks and lay the analytical groundwork for customer journey analysis and multi-touch attribution by mapping touchpoints and building pipelines that connect customer signals to banker interactions and outcomes.
- Support the development of data-driven strategies to help bankers focus their time on the highest-value customer interactions, analyzing patterns in customer-initiated activity to identify which customer signals are most predictive of meaningful engagement and conversion.
- Apply strong programming skills to extract, integrate, and transform data from diverse sources into cohesive analytical solutions that enable rigorous, data-driven decision-making.
- Deliver clear, well-structured analyses, ad-hoc reporting, and presentations that translate technical findings into intuitive business language for senior stakeholders.
Required Qualifications, Capabilities, and Skills:
- Bachelor's degree with 3+ years of experience in an analytics, data science, or business intelligence role, with demonstrated ability to work end-to-end from data extraction through insight delivery.
- Strong SQL skills with experience writing complex queries to pull, transform, and summarize large datasets across relational databases (Teradata experience preferred).
- Exposure to measurement and testing methodologies (e.g., A/B testing, incrementality measurement, test/learn frameworks) and familiarity with modern data platforms including Hadoop, AWS, or Snowflake.
- Proficiency in Python for data manipulation, analysis, and automation.
- High standards for work quality with meticulous attention to detail, ensuring accuracy and rigor across all analytical outputs and deliverables.
- Strong business intuition — demonstrated ability to think beyond raw data and understand the underlying business context, with a focus on practically solving real business problems.
- Effective communication skills — ability to relay findings clearly and concisely to senior stakeholders and cross-functional partners from a variety of business functions, translating business requests into analytical strategies.
- Experience with data visualization tools such as Tableau or similar platforms for building clean, actionable dashboards.
Preferred Qualifications, Capabilities, and Skills:
- Knowledge of customer journey analytics, multi-touch attribution, or marketing analytics concepts.
- Interest in or experience with statistical and machine learning techniques and their practical business applications.
- PySpark experience is a plus.
- Financial services experience is a plus, but not required.
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.
See all 28+ Scientist at JPMorganChase jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scientist at JPMorganChase roles.
Get Access To All JobsTips for Finding Scientist Jobs at JPMorganChase Jobs
Frame Your Research for Financial Applications
JPMorganChase Scientist roles typically require you to connect quantitative or applied research to business outcomes. When preparing your resume and portfolio, show how your work translated into measurable impact, not just academic output or publication counts.
Target Teams Beyond the Obvious Divisions
AI Research, Global Technology, and the Applied Data Science function all hire Scientists at JPMorganChase. Looking beyond the main technology careers portal and searching by research group or lab often surfaces openings that attract less competition from applicants.
Search Verified Sponsoring Employers on Migrate Mate
Filter Scientist openings at JPMorganChase using Migrate Mate to confirm which roles are actively tied to sponsorship. This saves you from applying to positions where the hiring team hasn't mapped out a visa pathway for the role.
Understand PERM Timelines Before Accepting an Offer
If permanent residency sponsorship through EB-2 or EB-3 is a priority, ask explicitly during the offer stage. DOL PERM backlogs can run several years, and knowing the company's standard practice on Green Card initiation helps you plan realistically.
Align Your Start Date Around H-1B Cap Deadlines
If you need a cap-subject H-1B, USCIS registration opens in March for an October 1 start. Scientist roles at JPMorganChase often have flexible start timelines, so negotiate your start date to align with the cap cycle if you miss the current year's lottery.
Scientist at JPMorganChase jobs are hiring across the US. Find yours.
Find Scientist at JPMorganChase JobsFrequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Scientists?
Yes, JPMorganChase sponsors H-1B visas for Scientist roles. The company has an active immigration program and works with in-house and external immigration counsel to manage H-1B petitions. If you're subject to the annual cap, you'll need to align your offer timeline with the USCIS registration window, which opens each March for an October 1 start date.
Which visa types does JPMorganChase sponsor for Scientist roles?
JPMorganChase sponsors H-1B, H-1B1, and E-3 visas for Scientist positions, along with employment-based Green Cards through the EB-2 and EB-3 categories. Australian citizens can pursue the E-3, which has no lottery and a simpler employer process. H-1B1 is available to nationals of Chile and Singapore. Which category applies depends on your nationality and qualifications.
What qualifications are expected for Scientist roles at JPMorganChase?
Most Scientist openings at JPMorganChase expect a graduate degree, with PhD holders preferred for research-focused positions. Strong programming skills in Python, R, or similar languages are standard requirements. Experience applying machine learning, statistical modeling, or quantitative methods to real-world problems carries more weight than academic credentials alone, particularly for applied research teams.
How do I apply for Scientist jobs at JPMorganChase?
You can browse open Scientist positions directly through JPMorganChase's careers site or find verified sponsorship-eligible listings on Migrate Mate. Tailoring your application to the specific team, whether that's AI Research, Applied Data Science, or a quant modeling group, significantly improves your chances. Referrals from internal employees also carry meaningful weight in JPMorganChase's hiring process.
How do I manage the timeline between a JPMorganChase offer and my visa filing?
Once you receive an offer, your employer files a Labor Condition Application with the DOL before the H-1B petition can be submitted to USCIS. The full process from offer to approved status can take several months depending on whether premium processing is used. Build at least 90 days of buffer between your intended start date and when you accept an offer to avoid gaps.
See which Scientist at JPMorganChase employers are hiring and sponsoring visas right now.
Search Scientist at JPMorganChase Jobs