WFP Senior Data Scientist

If you like turning real-world problems into models that actually move the needle youll fit right in. Our Workforce Planning (WFP) Data Science team builds AI/ML solutions that help forecast demand optimize capacity and sharpen schedulingat the scale of Chase call centers back office operations and 5200 branches. The work is complex high-impact and rarely plug-and-playyoull frame the problem choose the right math and deliver solutions built for action. If real-time decisioning sounds like your kind of challenge this is where you belong.

As a Data Scientist Associate Senior within the Consumer and Community Banking in Workforce Planning (WFP) you will solve complex data-intensive and often unstructured business problems that materially impact operations. You will independently frame ambiguous questions translate them into mathematical formulations and select modeling approaches grounded in strong theoretical fitnot just benchmark off-the-shelf algorithms. You will design develop and productionize rigorous AI/ML solutions that advance next-generation capabilities including moving toward real-time inference and decision-making across Workforce Planning.

Job Responsibilities

• Design and development of Machine Learning Artificial Intelligence and Statistical models.
• Support AI/ML projects individually or part of a project team.
• Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
• Select and apply the appropriate modeling approach based on principled understanding of the problem structure and underlying assumptions 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.
• Work effectively and gain credibility and respect of others including peers clients and other stakeholders.

Required Qualifications Capabilities and Skills

• Masters Degree with 3 years or Doctorate (PhD) with 1 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.
• Experience supporting AI/ML projects with multiple team members.
• Hands-on experience developing statistical models machine learning models and/or artificial intelligence models.
• Foundational understanding of the math and theory behind AI/ML algorithms with the ability to reason about model assumptions behavior and limitations beyond empirical validation.
• 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.