Data Scientist Lead
New York, NY, United States
JPMorgan Chase & Co.
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 Science Manager 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.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Finance Machine Learning ML models PhD Python SQL Statistical modeling Statistics
Perks/benefits: Career development Competitive pay Health care Relocation support Startup environment Wellness
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