Staff Data Scientist, Pricing & Experiments (Remote)

United States Digital Space LLC

United States

Hybrid

USD 207,485 - 244,100

Full time

14 days+

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Benefits offered by this job

Remote-first culture
Quarterly in-person sessions
Competitive compensation

Job summary

United States Digital Space LLC is seeking a Staff Data Scientist to own pricing experimentation and strategy for the company's Consumer & Business products. This role partners with Product, Engineering and Design to turn analytical expertise into decisions that move the bottom line.

You will design and analyze pricing tests, build models and data pipelines, and communicate findings to executives and cross-functional leaders.

Qualifications

  • 8+ years in data science with pricing experimentation and causal inference.
  • 5+ years leading pricing or experimentation workstreams and A/B designs.
  • Proficient in SQL and Python or R for modeling and analysis.
  • Experience communicating insights to executives and cross-functional teams.
  • Apply generative AI with human oversight to improve workflows.

Responsibilities

  • Own end-to-end pricing experimentation from design to analysis.
  • Build pricing models and evaluation frameworks for consumer products.
  • Collaborate with Product, Engineering and Finance on pricing roadmap.
  • Develop data pipelines and models powering pricing analytics.
  • Synthesize findings and present strategic recommendations to leadership.

Skills

Pricing experimentation
Causal inference
Statistical modeling
Stakeholder communication
Leadership
Generative AI governance

Education

PhD preferred
Master's in Economics/Statistics

Tools

SQL
Python
R

Job description

United States Digital Space LLC is seeking a Staff Data Scientist to own pricing experimentation and strategy for the company's Consumer & Business products. This role partners with Product, Engineering and Design to turn analytical expertise into decisions that move the bottom line.

You will design and analyze pricing tests, build models and data pipelines, and communicate findings to executives and cross-functional leaders.

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