Data Scientist Manager

Posted 14 Days Ago
New York, NY
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As a Data Scientist Lead, you will support advanced analytics projects and lead a team in delivering analytical solutions. Responsibilities include working with various teams to develop effective models, drive personalization strategies, and present key insights to stakeholders.
Summary Generated by Built In

Job Description
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 with 1 year of experience in people management.
  • 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.
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, paid in the form of cash and/or forfeitable equity, 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.

Top Skills

Python
SQL

What the Team is Saying

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The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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