Staff Data Scientist – Content Growth, Creator Strategy

Jobtailor; California (MO); On-site; USD 150,000 - 220,000; Full time

Job summary

Jobtailor seeks a Staff-level Data Scientist or Tech Lead to own end-to-end data science initiatives across content surfaces and growth opportunities. You will evaluate feature performance and conduct quasi-experiments, guiding product direction through rigorous analysis and clear communication.

You will collaborate with product, design, engineering and research to develop robust data architectures and scalable dashboards, enabling data-driven decisions at portfolio scale.

Qualifications

• Master’s degree or Ph.D. in Statistics required or equivalent.
• Expertise in non-randomized A/B testing, network testing and causal inference.

Responsibilities

• Own end-to-end data science ownership for content surfaces and growth opportunities.
• Evaluate feature performance and run quasi-experiments with bias controls.
• Partner with product, design, engineering, and research to support product development.
• Design and measure experiments to inform feature decisions and drive portfolio impact.
• Build scalable metrics and dashboards for decision-making.

Skills

End-to-End Data Science Ownership

Non-Randomized A/B Testing

Advanced Causal Inference

SQL

Python

Education

Master’s Degree in Statistics

Ph.D. in Statistics

Tools

Numpy

Pandas

Scikit-Learn

Job description

• Provide end-to-end data science ownership for emerging content surfaces such as Video, Groups, and Events
• Evaluate feature performance, including through non-standard A/B tests
• Identify opportunities to grow content supply, contributors, and engagement
• Partner with Distribution to improve discovery
• Connect insights across surfaces to drive portfolio-level impact
• Own data architecture and quality requirements for content data assets
• Evolve legacy data structures and identify coverage and quality gaps
• Partner with Analytics Engineering to build and maintain source-of-truth tables and artifacts
• Apply quasi-experiments, network experimentation with bias controls, advanced causal inference, and other sophisticated statistical methods
• Partner with product management, design, engineering, and research to support product development
• Design and measure experiments to inform feature decisions
• Develop strategic insights through exploratory data analysis
• Build scalable metrics and dashboards for decision-making
• Participate in Nextdoor events and contribute to company culture

Requirements

• Staff-level Data Scientist or Tech Lead experience, ideally within the social media or consumer technology space
• Master’s degree or Ph.D. in Statistics
• Demonstrated expertise in non-randomized A/B testing, network testing, and advanced causal inference methods
• Experience owning end-to-end product analytics
• Ability to operate as an autonomous technical leader and influence product direction through rigorous analysis, experimentation, and clear communication
• Expert knowledge of SQL and Python programming
• Knowledge of numpy, pandas, and scikit-learn
• Excellent communication skills, including synthesizing and explaining complex problems to different audiences, including executives
• Eagerness to explore and apply AI and emerging technologies

Core Competencies

Demonstrates expertise in data science ownership, advanced statistical methods, and product analytics, with a strong focus on A/B testing and causal inference. Capable of leading cross-functional collaborations and communicating complex insights effectively to diverse audiences.

Highest-signal resume keywords

• End-To-End Data Science Ownership
• Non-Randomized A/B Testing
• Advanced Causal Inference Methods
• SQL Programming
• Python Programming

Hard Skills

• Data Architecture
• Exploratory Data Analysis
• Metrics Development
• Statistical Methods
• Data Quality Management
• Feature Performance Evaluation
• Experiment Design
• Data Structures Evolution
• Source-Of-Truth Tables
• Network Experimentation

Soft Skills

• Excellent Communication Skills
• Autonomous Technical Leadership

Certifications & Qualifications

• Master’s Degree
• Ph.D. in Statistics

Industry Keywords

• Social Media
• Consumer Technology
• Content Engagement
• Data Science
• Product Analytics

Tools & Technologies

• Numpy
• Pandas
• Scikit-Learn