Job Description
The Workforce Planning (WFP) organization is a part of Consumer and Community (CCB) Banking Finance and Operations divisions. The WFP Data Science team is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The WFP team supports Chase's call centers, back office, and ~5,200 retail branches.
Projects engaged by the Data Science team can be complex, data intensive, and of a high level of difficulty, each having significant impact on the business. Typically these problems will be of an unstructured nature, whereby the employee will be expected to quickly assess and comprehend the situation then develop a practical problem solving strategy. You will be expected to analyze the topic in question, develop solution proposals and review their results and next steps with management for prioritization, timing, and delivery.
The Data Science team is tasked with building next-gen data science solutions that move us closer to real-time inference and decision making, including:

• Demand Forecasting - teller, banker, call center, back office, etc. transaction forecasting
• Supply Forecasting - staffing, service levels, and stress forecasting and outlooks.
• Application of statistical, Machine Learning/ Artificial Intelligence Models - creating predictive models to solve business challenges

Job responsibilities:
Qualified candidates will be a data science or technology leaders who can manage a team of highly-capable and independent sole contributors, along with mentor, coach and grow people earlier in their careers In this role, you will be expected to be a thought-leader in driving the information availability and adoption across the WFM community. You are also responsible for attracting, developing and retain quant talent to ensure the team continues to enhance its value to the company, and supporting the strategy and direction for the department.
The Senior Data Science Manager will lead a team charged with delivering on the data science functional priorities listed prior. Your work will directly support the greater CCB WFM efforts to ensure they have the best and most predictive data available for use, and will work hand-in-hand with them to ensure Chase maintains the best quantitative workforce optimization.
Required qualifications, capabilities, and skills:

• Master's Degree (MS/MA/MIS/MBA) with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an analytics professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, Computer Science, Information Science, and related disciplines.
• Hands-on experience developing statistics models, machine learning models, and/or operations research simulations and models.
• Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.
• Familiarity with basic data table operations (SQL, Hive, etc.)
• Excellent analytical skills with a track record in defining customer strategies through the use of data and analytics
• 2+ years of direct people leadership experience
• Developing and communicating business recommendations and insights in easy-to-understand-way leveraging data to tell a story
• Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.
• History of making an impact, developing and executing on strategies and delivering superior results in both the short and long term
• Develop and maintain working relationship with other businesses, functional groups and vendor organizations. Ability to work effectively and gain credibility and respect of others. Lead and persuade others while positively influencing the outcome of team efforts.

Preferred qualifications, capabilities, and skills:

• Advanced expertise with Time Series and Operations Research techniques.
• NLP / NLG, Neural Nets, or other ML/AI skills
• Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder.
• Experience with machine learning APIs and computational packages (Tensorflow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, and statsmodels).
• Experience with Spark, Trifacta, HiveQL, Alteryx, and SAS

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 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the "WELL Health-Safety Rating" for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.
As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. Employees are expected to follow the Firm's current COVID-19 or other infectious disease health and safety requirements, including local requirements. Requirements include sharing information including your vaccine card in the firm's vaccine record tool, and may include mask wearing. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests as required by applicable law.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be 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.
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.