Senior Associate Data Scientist

JPMorgan Chase • Wilmington, DE • 1h ago

Join the MLIO Analytics team as a Data Scientist Senior Associate and drive innovation in Conversational AI by optimizing machine learning and LLM-powered products. Leverage advanced analytics, collaborate across teams, and deliver actionable insights that transform customer engagement and operational efficiency at Chase.

As a Data Scientist Senior Associate within the MLIO Analytics team, you will optimize Conversational Insights and Coaching products powered by machine learning and LLM. You will lead end-to-end analyses spanning the entire problem-solving lifecycle, develop model POC, identify gaps, conduct root cause investigations, develop proto@type solutions, gather and analyze complex data, quantify business value through A/B test or non-randomized pilot, generating actionable insights and delivering presentations to product teams. The role also involves enabling customer self-service across Chase engagement channels.

Job Responsibilities:

Enhance LLM model performance across AWS and on-premises environments through comprehensive data analysis.

Automate reporting, transform complex datasets, and analyze business drivers to improve operational processes.

Collaborate with cross-functional teams to validate hypotheses and identify production issues.

Present clear, actionable insights to stakeholders at all levels.

Resolve data and model development issues proactively.

Develop SQL and Python codebases and maintain clear documentation.

Develop proof-of-concept solutions using machine learning or large language models to generate actionable insights.

Support agile teams in new product development with analytics expertise.

Required qualifications, capabilities, and skills:

Bachelor's degree in Economics, Data Science, Data Analytics, Statistics, or STEM field with 6+ years of analytics experience in financial services/operations, or Master's degree with 3+ years of relevant experience.

Proficiency in Python and SQL programming, strong communication and presentation skills, and a detail-oriented, collaborative approach.

Experienced in developing traditional machine learning models (ML) and Natural Language Processing (NLP), designing prompts, and fine-tuning large language models (LLM).

Experience with Excel PivotTable, PowerPoint, Tableau, Alteryx, AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake.

Collaborative team player with a high level of curiosity and the ability to operate independently.

Trained in machine learning, multivariate statistics, regression analysis, and data visualization.

Excellent communication skills, with the ability to develop and deliver concise presentations that clearly articulate challenges, actions, and results for complex issues-creating clarity and driving action among key stakeholders. Skilled at synthesizing data into actionable insights for executive leadership.

Good understanding of IT processes and databases, with the ability to work directly with data owners and custodians, contributing to the development of analytics data hubs.

Preferred qualifications, capabilities, and skills:

Extensive experience in consumer banking units such as operations, servicing, collections, or marketing.

Strong understanding of multi-linear regression, logistic regression, clustering, classification techniques including LightGBM and XGBoost, controlled experiments, and causal inference methods (DD, PM, NN).

Proficient in big data ETL processes for both structured and unstructured databases.

Demonstrates flexibility and adaptability, with the ability to listen and either defend or adjust direction based on team and stakeholder consensus.

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

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