Senior Data Scientist — Personalization & Forecasting

JPMorgan Chase & Co.; New York (NY); On-site; USD 150,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a data science professional to drive customer engagement through personalization and analytics across multiple business lines. You will build forecasting models, create data stories, and present findings to senior leaders.

Collaborate with Sales, Operations, and Product teams to identify business needs and deliver analytics solutions. The role requires a Master’s degree and 3+ years of experience in data science or analytics, with strong SQL, Python, ML, and

Qualifications

• Master's degree in Statistics, Mathematics, Information Science, or Business Analytics or related field plus 3 years of experience.
• Experience developing and optimizing SQL queries for BI across environments, Python data analysis and ML model development.
• Ability to present methodology and results to non-technical stakeholders with interactive Excel/PowerPoint reports.

Responsibilities

• Work on data science initiatives to personalize customer engagements.
• Support analytics across products, sales, operations, and tech teams.
• Deliver model strategy roadmaps to improve forecasts and budgets.

Skills

SQL queries

Python scripts

Machine learning models

Forecasting

Data storytelling

Presentation to leaders

Campaign monitoring

Education

Master's degree in Statistics/Math/Info Science/Business Analytics

Tools

Snowflake

AWS Athena

PitchPro+

Excel/PowerPoint

Job description

JPMorgan Chase & Co. is seeking a data science professional to drive customer engagement through personalization and analytics across multiple business lines. You will build forecasting models, create data stories, and present findings to senior leaders.

Collaborate with Sales, Operations, and Product teams to identify business needs and deliver analytics solutions. The role requires a Master’s degree and 3+ years of experience in data science or analytics, with strong SQL, Python, ML, and