Applied AI/ML Senior Associate

Job Description
Join our innovative team and drive the future of AI/ML! We're seeking passionate individuals to transform data into actionable insights, impacting industries worldwide. Be part of a dynamic environment where your expertise will shape cutting-edge solutions and make a real difference.
As an Applied AI/ML Senior Associate in our Data Science team, you will develop and apply machine learning methods to tasks such as recommendation systems and machine learning techniques (e.g., regression, classification, clustering). You will collaborate with various teams and engage in the knowledge-sharing community, working in a collaborative environment with business, technologists, and control partners to deploy solutions into production. A keen interest in machine learning and a willingness to learn and experiment with new innovations in the field are crucial. You should have a foundational understanding of recommender systems and machine learning techniques, with some hands-on implementation experience, as well as analytical thinking, a desire to learn, and strong motivation.
Job responsibilities

• Assist in developing machine learning models to address real-world problems, including tasks like recommendation systems and machine learning techniques (e.g., regression, classification, clustering).
• Support the analysis and evaluation of the ongoing performance of developed models.
• Collaborate with business, operations, and technology colleagues to understand AI needs and explore possible solutions.
• Contribute to the development of machine learning and data pipelines and support the orchestration of ML models to meet various deliverables.
• Help build model prediction pipelines with application and front-end integrations.
• Participate in large-scale data modeling experiments and explain concepts to stakeholders.
• Work with partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production.
• Collaborate with Product Owners and Software Engineers to productionize models and work with business partners to identify impactful projects and ensure client satisfaction.

Required qualifications, capabilities, and skills

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning
• At least 3 years of experience in programming languages like Python and applying data science and ML techniques to solve business problems
• Basic understanding of recommender systems and machine learning techniques (e.g., regression, classification, clustering)
• Experience with Machine Learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Ability to assist in designing experiments and evaluating model performance aligned with business goals
• Fundamental grasp of Big Data and scalable model training
• Strong communication skills to convey technical concepts to both technical and business audiences
• Familiarity with building and deploying ML models on AWS using tools like Sagemaker, EC2, Glue, etc.

Preferred qualifications, capabilities, and skills

• Interest in research in areas of Machine Learning, Deep Learning, or Reinforcement Learning
• Familiarity with A/B experimentation and data-driven product development
• Ability to develop and debug code
• Knowledge of continuous integration models and unit test development

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.