Machine Learning Data Domain Architect Analyst

Machine Learning and Artificial Intelligence play a critical role in transforming  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 algorithms and applications.

As a Data Domain Architect Analyst, you will use your domain expertise to partner 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

• Support data annotation and label data/content using annotation tools and analysis.
• Implement annotation procedures to achieve consistent annotation.
• Report and document issues with annotation tools and processes.
• Provide feedback for efficient labeling and to improve data quality.
• Conduct analysis of annotation edge cases.
• Contribute to the development of taxonomies and annotation guidelines.
• Identify patterns and trends in conversational data through Natural Language Processing and/or other computational linguistic approaches.
• Actively contribute 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

• Bachelor’s degree or higher in Linguistics or comparable discipline; or equivalent level demonstrated in relevant work 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.
• Interest in machine learning and willingness to develop new skills in this area.
• Experience in dialog models, conversational analysis, or other data science projects
• Familiarity with industry annotation and labeling methods.
• Familiarity with Finance and Banking products.

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, 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