Data Scientist (Multiple Positions Available)

JPMorgan Chase Bank, N.A. is hiring Data Scientists for multiple positions in Westerville, Franklin County, US. This role focuses on translating business goals into analytical solutions, designing experiments, and delivering data‑driven insights to optimize marketing spend.

Key Responsibilities

• Partner with cross‑functional teams to convert business objectives into clear analytical requirements.
• Design and implement campaign measurement plans, establishing short‑ and long‑term testing objectives.
• Create experimental test designs that align with learning agendas, financial targets, and operational constraints.
• Develop forecasts, scenario analyses, and actionable insights to guide budget optimization.
• Utilize data visualization tools to communicate findings effectively to stakeholders and senior leadership.
• Document methodologies, maintain reproducible code, and ensure rigorous statistical validation.

Required Qualifications

• Bachelor’s or higher degree in Data Science, Statistics, Computer Science, Economics, or a related field.
• 3+ years of professional experience in statistical modeling, A/B testing, or predictive analytics.
• Proficiency in Python or R, SQL, and data‑visualization libraries (e.g., Tableau, Power BI, matplotlib).
• Strong understanding of experimental design, hypothesis testing, and causal inference.
• Excellent communication skills with the ability to translate complex results into business‑friendly language.

Preferred Skills

• Experience in financial services or marketing analytics.
• Familiarity with big‑data platforms such as Spark or Hadoop.
• Knowledge of machine‑learning frameworks (scikit‑learn, TensorFlow, PyTorch).

Compensation

Base salary: $143,438 per year.

How to Apply

Submit your resume and a brief cover letter outlining your relevant experience through the JPMorgan Chase careers portal.

Frequently Asked Questions

What type of projects will a Data Scientist at JPMorgan Chase work on?

You will design measurement plans, run A/B tests, build forecasting models, and create visual dashboards to optimize marketing campaigns and financial outcomes.

What technical skills are required for this position?

Proficiency in Python or R, SQL, data‑visualization tools (Tableau, Power BI), and strong statistical knowledge for experimental design.

Is prior experience in financial services necessary?

While not mandatory, experience in financial services or marketing analytics is preferred and will strengthen your application.