Data Scientist - Process Intelligence
Data Scientist - Process Intelligence
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Job Description
Join our vibrant Process Intelligence team where innovation and data science intersect in an exciting collaborative environment. As a Junior Data Scientist youll 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 youll leverage your data science skills to analyze digital trace data and human-system signals. Youll 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:
- Bachelors 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:
- Masters 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).
Employment Type
Full-Time
