WFP Lead Data Scientist - Vice President

The Workforce Planning (WFP) organization is a part of Consumer and Community (CCB) Operations division. The WFP Data Science organization 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 organization supports Chase’s call centers, back office, and ~5,200 retail branches.

As a Data Scientist Lead – WFP Machine Learning Scientist, within JPMorganChase, you will engage in projects by the Artificial Intelligence(AI)/Machine Learning(ML) team that can be complex, data intensive, and of a high level of difficulty, each having significant impact on the business. You will typically encounter these problems which 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 AI/ML team is tasked with building next-gen data science solutions that move us closer to real-time inference and decision making.

• Design and development of Machine Learning, Artificial Intelligence and

Statistical models.

• Participate in the full model development lifecycle, from framing the problem

to prepare documentation and passing independent model review (MRGR).

• Lead AI/ML projects along with mentor and coach junior team members.
• Collaborate with stakeholders to understand the business requirements and

clearly define the objectives of any solution.

• Identify and select the correct method to solve the problem while staying up

• Master’s Degree with 5+ years or Doctorate (PhD) with 3+ years of experience

operating as an data science 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, and related disciplines.

• 2+ years of experience leading AI/ML projects with multiple team members
• Hands-on experience developing statistical models, machine learning models,

and/or artificial intelligence models.

• Deep understanding of math and theory behind AI/ML algorithms.
• Proficient in data science programming languages like Python, R or Scala.
• Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. &

familiarity with basic data table operations (SQL, Hive, etc.).

• Demonstrated relationship building skills, with a superior ability to make

things happen through the use of positive influence.

• Advanced expertise with Time Series and Operations Research techniques.
• Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural

Nets, or other ML/AI skills.

• Prior experience with public cloud technologies such as Amazon Web

Services(AWS), Azure or Google Cloud Platform(GCP).

• Previous experience leading highly complex cross-functional technical

projects with multiple stakeholders

This position is full time in office Monday - Friday. This position is not hybrid nor remote.

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.

• Ensure the robustness of any data science solution.
• Develop and communicate recommendations and data science solutions in

easy-to-understand-way leveraging data to tell a story.

• Lead and persuade others while positively influencing the outcome of team

efforts and help frame a business problem into a technical problem resulting in a feasible solution.