S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Customer Data Scientist — Experimentation Architect
XX
Senior Staff Data Scientist - Consumer ExperimentationReddit • New York, New York, United States
Postuler Maintenant
XX

Senior Staff Data Scientist - Consumer Experimentation

Reddit
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

Senior Staff Data Scientist - Consumer Experimentation Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .
Responsibilities
Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment
Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two‑sided experimentation, and long‑run effect estimation
Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster‑randomized designs, switchback experiments, and synthetic control approaches
Design experimentation frameworks and guardrail metrics that account for ecosystem‑level effects, ensuring product teams can measure true causal impact rather than biased local estimates
Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous
Build and scale self‑serve experimentation tools, platforms, and best‑practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams
Influence the long‑term product strategy by driving learning through well‑designed experiments and translating experimental results into clear, actionable recommendations for senior leadership
Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor
Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community
Required Qualifications
Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise
For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation‑focused roles
For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation‑focused roles
Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two‑sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods
Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections
Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform)
Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
Track record of designing and analyzing experiments at scale in complex or networked environments
Demonstrated ability to influence product and organizational strategy through experimentation insights
Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis‑driven way
Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non‑technical senior stakeholders
Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning
Comfortable in innovative and fast‑paced environments with a bias toward action
Preferred Qualifications
Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference
Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs
Experience with social network or user‑generated content platforms where community‑level dynamics create non‑trivial experimentation challenges
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Mental Health & Coaching Benefits
Pay Transparency This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.
The base salary range for this position is:
$232,500 - $325,500 USD
To learn more about benefits, visit https://www.redditinc.com/careers/.
#J-18808-Ljbffr
  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.