JPMorgan Lead Data Scientist - Workforce Planning Vice President 

United States, Texas, Plano 

62789880

As a Lead Data Scientist in Workforce Planning (WFP), you will spearhead the development and implementation of advanced AI/ML solutions to address complex, data-intensive challenges within the organization. You will be responsible for quickly assessing unstructured problems, devising innovative problem-solving strategies, and delivering impactful data science solutions that enhance real-time inference and decision-making capabilities.

Job Responsibilities

• Design and development of Machine Learning, Artificial Intelligence and Statistical models.
• Lead Artificial Intelligence (AI)/Machine Learning (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 research
• 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.

Required Qualifications, Capabilities, and Skills

• 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.

Preferred Qualifications, Capabilities, and Skills

• 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.