Machine Learning Data Domain Architect Lead

Job Description
The job summary is for a Data Domain Architect Lead position within a Data Science and Engineering team. The role involves using domain knowledge and leadership skills to work closely with various teams. Key responsibilities include managing data collection, curation, annotation, enrichment, and validation, as well as developing taxonomies and linguistic resources to assist in training machine learning models.
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.

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 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.