Staff Data Scientist: End-to-End Analytics & Causal Inference

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

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.