Job Description

Salary: $61,000 - 101,000 per year Requirements:

• We are looking for a Masters degree with 3+ years of experience, or a PhD with 1+ years of experience, working as a data science professional in a quantitative field such as Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, or a related discipline.
• We need experience supporting AI/ML projects with multiple team members.
• We need hands-on experience building statistical models, machine learning models, and/or artificial intelligence models.
• We need a strong foundation in the mathematics and theory behind AI/ML algorithms, with the ability to reason about model assumptions, behavior, and limitations beyond empirical validation.
• We need proficiency in data science programming languages such as Python, R, or Scala.
• We need experience with big data technologies such as Hadoop, Spark, and SparkML, along with familiarity with basic data table operations such as SQL and Hive.
• We value demonstrated relationship-building skills and the ability to drive progress through positive influence.
• Preferred: advanced expertise in time series and operations research techniques.
• Preferred: experience with NLP, NLG, neural networks, or other AI/ML capabilities.
• Preferred: prior experience with public cloud technologies such as AWS, Azure, or GCP.
• Preferred: experience leading highly complex cross-functional technical projects with multiple stakeholders.

• We design and develop machine learning, artificial intelligence, and statistical models.
• We support AI/ML projects independently or as part of a project team.
• We collaborate with stakeholders to understand business needs and define clear solution objectives.
• We select and apply the most suitable modeling approach based on a principled understanding of the problem structure and underlying assumptions, while staying current on the latest AI/ML research.
• We ensure the robustness of our data science solutions.
• We develop and communicate recommendations and data science solutions in a clear, story-driven way using data.
• We work effectively and build credibility and respect with peers, clients, and other stakeholders.
• We solve complex, data-intensive, and often unstructured business problems that materially affect operations.
• We independently frame ambiguous questions, translate them into mathematical formulations, and choose modeling approaches grounded in theoretical fit.
• We design, develop, and productionize rigorous AI/ML solutions that advance next-generation capabilities, including movement toward real-time inference and decision-making across Workforce Planning.

• AI
• AWS
• Azure
• Big Data
• Cloud
• GCP
• Hadoop
• Hive
• Support
• Machine Learning
• Python
• SQL
• Scala
• Spark
• Web

More:

We are collaborating with J.P. Morgan and Chase on a Data Scientist Associate Senior role within Consumer and Community Banking Workforce Planning. Our Workforce Planning Data Science team builds AI/ML solutions that help forecast demand, optimize capacity, and improve scheduling across Chase call centers, back office operations, and 5,200 branches. We offer a competitive total rewards package and a range of benefits and programs, including health care coverage, wellness support, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching, subject to eligibility. We are committed to diversity, inclusion, and equal opportunity, and our Consumer & Community Banking and CCB Data & Analytics teams use data, analytics, and technology to create strong customer and business outcomes.

last updated 39 week of 2026

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