Chase Media Solutions harnesses the power of Chase to help brands connect more meaningfully with Chase customers. Our transaction-based marketing platform leverages first-party data to expertly match businesses with audiences, inspiring valuable relationships that last through the Chase Offers program. As part of Offers and Shopping and Connected Commerce, we drive incremental growth for merchants, while helping Chase customers level up how they shop and get more from the brands they love. 

As an Data Scientist Lead, within the Community and Consumer Banking - Chase Media Solutions Analytics and Insights team, you will support advanced analytics projects across products, sales, operations, and tech teams. You will lead the delivery of a wide range of advanced analytics including sales forecasting, operations forecasting, and segmentation, as well as crafting data stories and presentations of key findings to stakeholders. You will work collaboratively with partners such as Sales, Operations, Products, Technology, Personalization & Insights, Machine Learning and Intelligence, Finance and other analytics teams across Connected Commerce.

Job Responsibilities

Work closely with Sales, Operations, and Product teams to understand business needs and develop effective analytics solutions. Drive a model strategy roadmap to continuously improve accuracy and functionality of forecasts and budget management. Lead data science initiatives to drive customer engagements through personalization and effective targeting. Projects include, but not limited to, merchant categorization, transaction enrichment, and customer audience segmentation. Lead a team of data scientists on forecasting model development, production, and execution, in partnership with Modeling team. Collaborate across functions and Lines of Business to drive Analytics and Insights. Prepare and deliver presentations summarizing key insights and conclusions, often to senior leaders. Embrace a growth and learning mindset; curious and creative; collaborative, team-oriented and client-focused; motivated by business and technical challenges.

Required qualifications, capabilities, and skills.

A Bachelor's degree in a quantitative or related field is required, along with 5+ years of relevant experience.  Demonstrated people management and team-building skills. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Experience with statistical modeling, machine learning and other advanced analytics methods. Must be proactive, results driven and have a proven track record of execution. Structured thinker with exceptional verbal and written communication skills. Excellent SQL, Python, and Alteryx skills.

Preferred qualifications, capabilities, and skills.

Masters degree or a PhD in a quantitative or related field (i.e., Data Science, Statistics, etc.) Experience in Ad Tech, digital media preferred

Relocation assistance not offered / supported  for this role.