WFP Machine Learning Scientist

The Workforce Planning (WFP) organization is 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 JPMorgan

Chase, 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 preparing 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 to date on the latest AI/ML research.
• Ensure the robustness of any data science solution.
• Develop and communicate recommendations and data science solutions in an 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.

• Master’s Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as a 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, Spark
  
  ML, etc. and 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.

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.

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Equal Opportunity Employer/Disability/Veterans