Job Description

CCB Data & Analytics:

The CCB Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers.

The team encompasses a variety of data disciplines, from governance and strategy/partnerships to reporting, data science and machine learning. Together, they ensure impact at the front-line and the customer through Sales and Marketing transformation.

We have a strong partnership with our dedicated Technology partners, who provide us with our cutting-edge data and analytics infrastructure.

Machine Learning and Artificial Intelligence (MLAI) Garage:

Chase is on a mission to deliver a customer-obsessed experience by improving clock speed and providing first class customer interactions. In order to achieve this mission, it aims to be an AI fueled organization focused on improving and simplifying the experience of our customers and employees. The MLAI Garage team, part of CCB Data and Analytics team, builds best in class ML and AI solutions for CCB Operations in an Agile environment.

Position Overview:

The role is a unique opportunity for an experienced, well-rounded, and hands-on practitioner in analytics. The team is responsible for providing analytical support for MLAI garage playing a critical role in helping the garage identify the most impactful opportunities for MLAI deployment in operations. The position offers an opportunity to work on big data and apply data science skills to support the development of ML and AI solutions.

Responsibilities:

* Provide thought leadership on data science best practices, methods and tools for analytical work in the MLAI garages in order to identify most impactful opportunities for MLAI in Operations
* Lead, develop, plan, and execute analytical work, individually and with the team, working with Large scale datasets and Big Data environment
* Partner and work closely with product owners and other leads to ensure feasibility and progress of the product delivered by the Garage
* Work side by side with modeling lead to ensure the best ML and AI solutions are being delivered to the business
* Enforce Analytics best practices
* Have a clear view of metrics of success, model and implementation feasibility and impact to customer
* Share latest ML AI efforts in the industry that can improves operations efficiency and lower OpEx
* Lead, train and coach more junior associates in the team
* Help build a team of strong, business savvy and self driven analytical talent
* Synthesize analytical findings for consumption by garage teams and senior executives
* Deliver practical data insights in a compelling manner actionable by our partners
* Articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations
* Establish and manage relationships with our internal partners becoming a trusted advisor on business data and analytics techniques, with strong understanding of business drivers and underlying data
* Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior

Qualifications and Required Skills:

* 8+ years of hands on industry experience in leveraging data science (including ML) and analytics to solve business problems
* Bachelors degree in relevant quantitative field required, advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields)
* Thought leader in data science and analytics who can help the business define their business problem, create solutions to address it, plan and execute the implementation
* Intellectually curious and selfdriven to understand business domains and their data
* Expert knowledge in quantitative methods for business, advance data science methods and ML
* Familiarity with Agile, experience with Agile is a plus
* Experience in practical data processing working with large scale datasets and Big Data environment, data mining, text mining and information retrieval tasks
* Experience across broad range of modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python)
* Proficiency in SQL and Python required.
* Ability to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic
* Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner at all levels
* Experience of leading teams with a proven track record of being driving value for the business;
* Financial services background preferred, but not required