Data Scientist - Process Intelligence

Description

Join our vibrant Process Intelligence team, where innovation and data science intersect in an exciting, collaborative environment. As a Junior Data Scientist, you'll decode how organizational work truly functions by exploring human-system interactions and leveraging machine learning to advance our industry-leading execution of digital workplace analysis. Our mission is to inspire change and deliver value, fostering a culture of curiosity and deep understanding of process and behavior within systems. By eliminating inefficiencies and unlocking human capital, we empower employees with data-driven insights that guide next-generation workflows. Welcome to Human-in-the-loop 2.0.

As a Junior Data Scientist in our Process Intelligence team, you'll leverage your data science skills to analyze digital trace data and human-system signals. You'll drive innovation and efficiency at JPMorgan Chase through machine learning and data analysis, contributing to the advancement of our digital workplace solutions.

Job Responsibilities:

Analyze correlations and patterns in telemetry, user activity logs, surveys, and interviews.

Design and execute experiments to evaluate digital tools and human-system interactions.

Develop ML models to classify workflows, identify bottlenecks, and predict engagement.

Construct cognitive and performance metrics from task mining and system logs.

Collaborate with researchers and engineers to translate workplace signals into business recommendations.

Create reports and dashboards highlighting system impact and operational insights.

Required Qualifications, Capabilities, and Skills:

Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.

1 or more years of experience in data science or applied research.

Proficiency in Python, SQL, and data science libraries (e.g., pandas, scikit-learn).

Strong analytical skills with knowledge of regression analysis.

Ability to interpret and communicate data-driven insights effectively.

Effective collaboration skills with diverse stakeholders

Proficiency in Python for data engineering tasks.

Preferred Qualifications, Capabilities, and Skills:

Master's degree in Data Science, Computer Science, Statistics, or a related field.

Exposure to task mining, process mining, or workflow optimization tools.

Familiarity with psychometrics, cognitive load measurement, or behavioral telemetry.

Experience with structured and unstructured data analysis.

Ability to set up and analyze A/B or multivariate experiments.

Familiarity with data visualization tools (Tableau, PowerBI).

Experience with cloud-based data tools (Snowflake, Spark, AWS).