Staff Data Scientist (Experimentation & Causal Inference)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Data Scientist (Experimentation & Causal Inference): Defining and scaling experimentation methodology and causal inference standards across a multi-product SaaS platform with an accent on statistical rigor in small-sample, fast-paced environments. Focus on building the experimentation toolkit, coaching cross-functional teams, and translating complex statistical insights into actionable business strategy.
Location: Must be based in the United States
Company
is an AI-powered business operating system providing infrastructure for agencies, entrepreneurs, and SMBs to build, automate, and scale their operations.
What you will do
- Define and standardize the end-to-end experimentation methodology across all product teams.
- Develop statistical approaches for small-sample, fast-paced contexts, including variance reduction and sequential testing.
- Apply rigorous causal inference techniques to evaluate product changes where clean experiments are not feasible.
- Design frameworks for running concurrent experiments while managing contamination and guardrails.
- Partner with AI/ML teams to measure and evaluate non-deterministic features.
- Build experimentation templates and curriculum to level up PMs and analysts.
Requirements
- 9+ years of experience in data science, product analytics, or applied statistics.
- Deep expertise in designing and analyzing online controlled experiments at scale.
- Strong foundation in frequentist and Bayesian statistics, power analysis, and A/B testing failure modes.
- Practical experience with causal inference methods such as matching, diff-in-diff, and synthetic control.
- Proficiency in SQL and either Python or R.
- Ability to influence senior leadership and cross-functional partners without direct authority.
Nice to have
- Familiarity with modern experimentation platforms like Statsig.
- Experience building an experimentation practice or culture from the ground up.
- Background in B2B SaaS, CRM, or product-led growth.
- Experience with multi-tenant or marketplace product structures.
Culture & Benefits
- Global, remote-first organization operating with speed and ownership.
- Founding role with executive sponsorship and potential to build a team.
- Opportunity to impact a platform supporting over 1 million businesses.
- Collaborative environment focused on data-backed decision making.
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