Behavioral Data Scientist

Overview

Responsibilities

• Design and execute large-scale A/B tests to evaluate the impact of product changes on user behavior.
• Develop predictive models using machine learning to identify patterns in customer churn or engagement.
• Construct behavioral frameworks that categorize user segments based on psychological archetypes and actions.
• Communicate complex statistical findings to non-technical stakeholders to guide organizational strategy.
• Collaborate with product designers to implement behavioral nudges that encourage positive user outcomes.
• Audit data collection processes to ensure psychological variables are accurately captured and measured.
• Conduct literature reviews on cognitive science to inform hypothesis generation for new data experiments.

Qualifications

• Master's degree or PhD in a quantitative social science, statistics, or data science.
• Proficiency in programming languages such as Python or R for advanced statistical modeling.
• Extensive experience with causal inference techniques and experimental design methodologies.
• Demonstrated ability to manipulate large datasets using SQL and distributed computing frameworks.
• Strong understanding of behavioral economics principles and psychological research methods.
• Experience with data visualization tools to present behavioral trends and experimental results.

Nice to have

• Prior experience working in a tech industry product growth or user research team.
• Familiarity with Bayesian statistics and deep learning frameworks.
• Published research in peer-reviewed behavioral science or machine learning journals.

Work environment

• Work is typically performed in a collaborative office or hybrid setting with cross-functional teams.
• The culture emphasizes empirical evidence, intellectual curiosity, and rigorous peer review of methodologies.
• Standard business hours are common, though project launches may occasionally require additional time.
• Tools include cloud computing platforms, statistical software, and version control systems like Git.

Benefits & growth

• Compensation packages frequently include performance-based bonuses and stock options or equity grants.
• Career progression often leads to roles such as Principal Behavioral Scientist or Director of Data Science.
• Professional development is supported through attendance at major industry conferences and academic workshops.
• The role offers high impact as organizations increasingly rely on behavioral insights for competitive advantage.