WFP Machine Learning Scientist Lead VP at JPMorganChase

DescriptionThe 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 Chases call centers back office and 5200 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. TheAI/MLteam is tasked with building next-gen data science solutions that move us closer to real-time inference and decision making.Job ResponsibilitiesDesign 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 to data on the latest AI/ML researchEnsure 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.Required Qualifications Capabilities and SkillsMasters 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 membersHands-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.Preferred Qualifications Capabilities and SkillsAdvanced 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 stakeholdersThis position is full time in office Monday - Friday. This position is not hybrid nor remote.Required Experience:Exec Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full-Time Experience: years Vacancy: 1