Senior Data Scientist: Causal Inference & Production ML

Wonder Group, INC; United States; Hybrid; USD 216,000 - 250,000; Full time

Benefits offered by this job

Equity

401(k)

Medical/Dental/Vision

Job summary

Wonder Data Science is seeking a Senior Staff Data Scientist to shape strategic data science directions, mentor teams, and collaborate with engineering, product, and business leaders. You will design causal frameworks, run scalable experiments, and guide production-grade ML systems that impact marketplace and customer outcomes.

The role emphasizes trusted leadership, cross-functional collaboration, and building robust experimentation strategies in high-noise environments with hybrid office

Qualifications

• 8+ years of industry experience with MS or 6+ years with PhD in a quantitative field.
• Proven experience applying data science and ML to complex business problems.
• Deep expertise in causal inference and experimentation methodologies.

Responsibilities

• Serve as a technical thought leader in Data Science and mentoring.
• Lead exploration of interconnected marketplace systems and product impact.
• Partner with engineering to drive architecture and production ML services.

Skills

Data science

Machine learning

Causal inference

Python

SQL

Production ML

Education

MS in Statistics or related field

PhD in Statistics/Math/CS (advantage)

Tools

Python

SQL

Job description

Wonder Data Science is seeking a Senior Staff Data Scientist to shape strategic data science directions, mentor teams, and collaborate with engineering, product, and business leaders. You will design causal frameworks, run scalable experiments, and guide production-grade ML systems that impact marketplace and customer outcomes.

The role emphasizes trusted leadership, cross-functional collaboration, and building robust experimentation strategies in high-noise environments with hybrid office