Machine Learning Data Domain Architect Lead

Machine Learning and Artificial Intelligence play a critical role in transforming Consumer and Community Banking Operations.

The ability to utilize data in meaningful ways allows us to develop solutions which both our customers and employees can benefit from.

Customers expect tailored servicing and Chase is looking to deliver personalization to meet their needs.

This is powered by high-quality annotated data and detailed annotation schemes that are the backbone of impactful AI/ML algorithms and applications.

As a Data Domain Architect Lead, you will use your domain expertise and people-leading experience to partner your team closely with teams in Data Science, Analytics, and Engineering to develop machine learning solutions.

This will involve the collection, curation, annotation, enrichment, and validation of data and the development of taxonomies and other linguistic resources to help train machine learning models, drive insight, analysis, and possible content creation.

Job responsibilities


* Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis.


* Partner with leads in Data Science, Engineering, and Analytics to develop strategies to optimize training data for machine learning models


* Lead efforts to identify patterns and trends in conversational data through Natural Language Processing and/or other computational linguistic approaches.


* Collaborate with stakeholders on evaluating the quality of machine learning classification and other output


* Actively contribute to the team's continuous learning mindset by bringing in new ideas and perspectives that stretch the thinking of the group.

Required qualifications, capabilities, and skills


* Generally 6+ years of related experience.


* Excellent analytical and problem-solving skills and the ability to pay close attention to detail.


* Experience using Python in working with and analyzing large real-world datasets.


* Working knowledge of information and data retrieval.


* Working knowledge of machine learning and artificial intelligence paradigms and libraries.


* Technical understanding of common relational database systems; i.e., Teradata and Oracle.


* Advanced understanding of Hadoop-related technologies & their applications.


* Hands-on experience with various data modeling techniques and tools.


* Excellent command of the SQL language.


* Knowledge of SAS or Scala, and Python languages.


* Knowledge of Advanced Statistics.

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...