Full Job Description
As a Data Scientist Senior Associate within the Affluent, Core, and Emerging (ACE) Analytics team, supporting Affluent Customer Analytics within our Consumer Bank Decision Sciences team you unify data and analytics talent across Chase to responsibly leverage data, building competitive advantages for our businesses while providing value and protection for customers. You will work on measuring the effectiveness of and driving Chase’s Consumer Bank strategies across marketing, sales, distribution, pricing, and customer analytics. The results and learnings from these analyses, which seek to quantify both statistical and practical significance, are used to drive future strategy using a full suite of analytical techniques.
Job responsibilities:
• Develop reporting and conduct complex analyses in partnership with Consumer Bank product and finance teams, including product and servicing channel performance analyses, client engagement and attrition analyses, customer segmentation work, and more.
• Utilize AI tools to build efficiencies in BAU processes, uncover actionable insights from large/complex datasets, and accelerate analysis and decision-making through responsible, well-governed automation and experimentation
• Consult with business partners on analytical needs and make strategy recommendations.
• Solve unstructured business problems and develop deep dive analyses of customer behavior using a variety of analytic, statistical, and machine learning tools/techniques.
• Break down complex analytic results and concepts into relevant and digestible takeaways, and present them to stakeholders and senior management.
• Continuously develop skills to provide best-in-class analytics to the business.
Required qualifications, skills, and capabilities:
• Master’s degree in a quantitative discipline or a Bachelor’s degree and 3+ years of experience in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related fields).
• 3+ years of experience in applying statistical and machine learning methods to real-world problems.
• 3+ years of experience with SQL and at least one of the following analytical tools: SAS, Python, R (Python preferred).
• Experience with visualization techniques for data analysis and presentations (Tableau preferred).
• Superior written, oral communication, and presentation skills with experience communicating concisely and effectively with all levels of management and partners.
Preferred qualifications, skills, and capabilities:
• Intellectually curious and eager to learn new things.
• Strategic thinkers with the ability to focus on business goals.
• Excellent at solving unstructured problems independently.
• Highly organized and able to prioritize multiple tasks.
• Strong communicators and able to build relationships with key stakeholders.
