Data Scientist Senior Associate

Come join us in reshaping the future!

The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches.  The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm.  The team leverages industry-leading tools, processes and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. 

We are seeking a Senior Associate to join the Analytics team dedicated to branch ecosystem and staffing optimization.  Reporting into the Executive Director, this role will become the in-house expert in developing optimization strategies for the proper staffing and staff functions within the branch.  

Job Responsibilities: 

• Help develop and drive optimization roadmap for branch staffing functions using Machine Learning frameworks.

• Utilize advanced analytics to identify opportunities for improving the overall branch ecosystem across roles in several lines of business.

• Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed.

• Use data analysis tools/platforms (SQL, R/Python, Teradata, AWS, Airflow & Hadoop) to analyze data from multiple sources.

• Perform ad-hoc analyses for lead performance, trend analysis, other analyses, as required.

• Implement prioritization models to allow for optimized in-branch servicing and sales while also effectively handling day to day foot traffic.

• Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions.

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Required qualifications, capabilities and skills: 

• Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services.

• 3+ years of experience with optimization and machine learning models design and implementation – can be in a marketing, operational or digital setting.

• Expertise implementing next-gen models using machine learning in a Hadoop environment.

• Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners. 

• Problem-solving skills are essential. 

• Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity.

• Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards