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채용JPMorgan Chase

Data Scientist [Multiple Positions Available]

JPMorgan Chase

Data Scientist [Multiple Positions Available]

JPMorgan Chase

Jersey City, NJ, United States, US

·

On-site

·

Full-time

·

1w ago

DESCRIPTION:

Duties: Extract and transform data from various sources and technologies. Gather, document, and clarify reporting requirements from business partners. Create, enhance, update, and test reports and stored procedures. Troubleshoot and resolve production reporting issues. Recognize and communicate meaningful trends/patterns in data and reporting. Identify and validate data sources and serve as a data expert. Advise business and technology partners on data-driven opportunities to increase efficiency and improve customer experience. Proactively interface with, and gather information from, other areas of the business including Operations, Technology, Finance, and Marketing.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Enterprise Risk Management, Data Science, Data Analytics, Business Analytics, or related field of study plus 1 year of experience in the job offered or as Data Scientist, Product Development Manager, or related occupation. The employer will alternatively accept a Bachelor's degree in Enterprise Risk Management, Data Science, Data Analytics, Business Analytics, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Product Development Manager, or related occupation.

Skills Required: This position requires experience with the following: performing data manipulation and query optimization on data sets using SQL in either Microsoft SQL server or building Alteryx workflow; creating visualizations using Excel, Python or Tableau to communicate findings and insights to senior management; performing end to end projects to develop Tableau dashboard including communicating with business users to gather business requirements, and providing SQL code to developers; building mock-up in Tableau or Excel and communicating with business users on end product; using Python to build out statistical analysis including linear or logistic regression as well as finding outliers.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be 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. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us.

Job Location: 575 Washington Blvd, Jersey City, NJ 07310.

Full-Time. Salary: $150,000 - $205,000 per year.

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총 지원 클릭 수

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모의 지원자 수

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JPMorgan Chase 소개

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

직원 수

New York City

본사 위치

$500B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

3.2

보상

4.1

문화

3.8

커리어

3.0

경영진

2.5

65%

친구에게 추천

장점

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

단점

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

연봉 정보

41개 데이터

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2개 리포트

$188,500

총 연봉

기본급

$145,000

주식

-

보너스

-

$182,000

$195,000

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 20%

보통 80%

부정 0%

면접 과정

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study