Data Science Associate
Immigration summary
Visa sponsorship
This employer has recently sponsored work like this.
3,104 recent H-1B filings · 2 similar-role filings
View visa evidenceGreen card sponsorship
This employer has recently sponsored green cards at scale.
467 recent certified PERM filings · 3 similar-role filings
View green card evidenceJob description
Are you passionate about leveraging descriptive, predictive, and prescriptive analytics to drive business strategy and results? As part of the Chase Auto team, you’ll directly support a sales organization focused on growing auto originations through strategic automotive partnerships.
As an Associate Data Scientist, you will partner with a sales-focused organization to deliver analytics that fuel growth across our dealer channels. Your work will integrate data science, research, and business domain expertise to inform strategic decisions and optimize performance. You will collaborate closely with Brand General Managers, Dealer Relationship Managers, and partners across consumer lines of business, finance, compliance, and controls.
Key Responsibilities
- Partner with Chase Auto and lines of business (LOBs) to deliver data-driven insights that support strategic growth in auto originations.
- Develop and refine reporting frameworks and KPIs to evaluate channel effectiveness and partnership performance.
- Conduct proactive, self-directed analysis of large, complex datasets by forming hypotheses, extracting insights, and communicating findings through clear data visualizations for diverse stakeholders.
- Shape and prioritize the analytics agenda to align with business strategy and maximize impact.
Required Qualifications, Capabilities, and Skills
- Master’s degree in a related field or at least 2 years of relevant industry experience in data science or analytics.
- Proficiency in SQL and Python; experience with Tableau and Alteryx.
- Expertise in data wrangling, including integrating multiple data sources into cohesive datasets and aggregating large datasets for targeted analysis.
- Demonstrated ability to define business KPIs and implement effective measurement frameworks.
- Strong analytical mindset with a track record of exploring results and uncovering actionable insights.
- Excellent communication skills, with the ability to engage executives, business partners, and technical teams on analytics and data management topics.
- Strong data storytelling skills, translating analytical findings into clear, actionable narratives.
- Ability to thrive in a fast-paced, entrepreneurial environment.
Preferred Qualifications, Capabilities, and Skills
- Experience in the automotive or auto lending industry.
- Familiarity with AWS cloud services.
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
Sponsorship evidence
Why Openbound reached the conclusions above.
Visa sponsorship evidence
Current posting
Silent on sponsorship
Other openings
132 of 7466 recent openings at this employer state a sponsorship restriction.
Employer H-1B history
- 3,104
- recent certified H-1B filings
- 896
- new-hire petitions
- 2
- filings for similar roles
- 2,744
- so far in FY2026
Filed titles like this role: associate ai and data science · associate data science · associate data science associate
More evidence details
- 2 certified H-1B filings for this same role
- 3,104 recent certified H-1B filings across the employer
- Still filing this year — 2,744 filings in FY2026
- 1 USCIS H-1B new-employment approval, counted separately from LCA filings
- Strong filing activity in NY
- 1 further USCIS approval for extensions or transfers
- 132 other recent postings at this company state a sponsorship restriction
- The posting says nothing about sponsorship either way
Strong filing activity in NY.
Green card sponsorship evidence
Employer PERM history
- 467
- recent certified PERM filings
- 3
- filings for similar roles
- 77
- filings in this location
Filing history reflects past employer behavior; it isn't a promise for this opening.
All open roles at JPMorgan ChaseHow Openbound evaluates sponsorship
Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.
An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 1,128 filing titles were examined for this employer.
What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.