Data Scientist Associate Sr

This Data Scientist will join our Machine Learning & Intelligence Operation (MLIO) analytics team and become part of Chase’s Data Analytics/Data Science community.  help us by using your data analytics and programming skills to drive business outcome in optimizing Chase’s machine learning products in business operations!

As a Data Scientist  Senior Associate within JPMorgan Chase Asset and Wealth Management you will drive the analytics book of work and be part of the cross-functional team to improve the operations experience for our customers.  You will be responsible for working collaboratively across partners in the MLIO Product team:  Product, Data, Finance, UX/UI Design & Software Engineering.  You will have the opportunity to work on the end-to-end analytics:  building and updating the business case, analysis scoping, hypothesis development, data gathering, performance analysis, generating insights and participating in developing presentations of findings.   

Job Responsibilities:  

• Perform big-data analysis and improve ML/AI models in both AWS and on-premises environments.
• Lead end-to-end projects to investigate and explain key performance drivers and business impacts. Identify customer interactions and events across a variety of channels to better understand customer journeys and friction points.
• Partner with cross-functional team lead to consolidate business assumptions with productionized data to validate hypotheses and identify production flaws.
• Create & present results to peers, executive leadership team and business partners.
• Proactively investigate issues and problems in data collection, model building and production phases. 
• Document Python and SQL codebase, data, and model outputs in clear and concise way
• Work as a member of agile, digital, tribes or scrum teams to provide data and analytics support for new product development.

Required qualifications, capabilities, and skills:

• Bachelor Degree in Machine Learning (NLP, LLM), Economics, Data Analytics, Statistics, or a STEM related field 
• Master Degree in Machine Learning (NLP, LLM), Economics, Data Analytics, Statistics, or a STEM related field 
• 3+years Experience of work experience.
• Solid programming skills in Python and SQL.
• Strong writing and communication skills.
• Detail oriented problem-solver with time management capability.
• Hands-on team player with full of curiosity to operate in a self-directed manner.
• Work experience with Excel PivotTable, presentation PPT and data wrangling & visualization tools (e.g. Tableau, Alteryx, SQL server)
• Coursework in multivariate statistics, multiple regression, programming languages (Python, SQL, Spark), machine learning (NLP, LLM), data analytics & visualization.
• Work experience in AWS, Spark/EMR, Snowflake.

Preferred qualifications, capabilities, and skills:

• Extensive experience in consumer banking units such as operations, servicing, collections, or marketing.
• Solid understandings in multi-linear regression, logistic regression, and causal inference methods (DD/PM/NN).
• Deep knowledge in recommendation system, NLP, LLM, Re-enforcement learning or Deep Learning algorithms.
• Experience in big data ETL (structured/unstructured database)
• Communication skills, you would be able to develop and deliver concise presentations that clearly articulate challenges, actions and results for complex matters - creating clarity and a bias for action with key stakeholders. Candidate should be able to crisply synthesize data into actionable insights for executive leadership.

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. 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.

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