Staff Data Scientist, Ads

Reddit, Inc.

Vancouver

Presencial

CAD 150.000 - 210.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Global benefits
Flexible vacation
Mental health support
Professional development
Retirement savings plan

Descripción de la vacante

Reddit, Inc.'s Ads Data Science team is seeking a Staff Data Scientist to advance the advertiser experience on Reddit. You will own high-impact problems in measurement, identity, and signal quality, influencing direction and setting a high technical bar across cross-functional teams.

You will design probabilistic identity models, lift experimentation, and evaluation frameworks, working with engineering, product, and sales to translate insights into actions while mentoring others.

Formación

  • Advanced degree in statistics, mathematics, physics, economics, or operations research.
  • 10+ years of industry experience for MS holders; 6+ years for PhD holders.
  • Deep understanding of the ads ecosystem.
  • Expertise in measurement & experimentation at scale, identity graph creation & resolution.
  • Strong proficiency in Python or R and SQL; experience with machine learning or optimization techniques.
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies.
  • Exceptional problem-solving and communication skills with a track record of influencing partners.
  • Experience working in fast-paced, ambiguous environments with cross-functional teams.

Responsabilidades

  • Design probabilistic models for identity resolution to maximize addressability while preserving privacy.
  • Own lift methodologies and experimentation for Brand/Conversion Lift and scalable testing infrastructure.
  • Define signals strategy and integrate signals into predictive models to improve bidding and ROAS.
  • Define ground truth and evaluation frameworks for identity and measurement.
  • Collaborate with engineering, product, and sales; mentor teams and promote best practices.

Conocimientos

Statistical programming
Python
R
SQL
Machine learning
Optimization techniques
Experimental design
Causal inference
Communication skills

Educación

Master’s degree in Statistics/Math/Physics/Economics/OR
Ph.D. in Statistics/Math/Physics/Economics/OR

Herramientas

Python
R
SQL

Descripción del empleo

About the Ads Data Science Team

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting‑edge DS methods. We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who push the boundaries of machine learning and statistical modeling.

About the Role

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you’ll take deep ownership of a high‑impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high‑impact, high‑autonomy role where you’ll influence strategic direction, set a high technical bar, and drive cross‑functional initiatives across one or more critical focus areas in the Ads organization.

Responsibilities
  • Design the Future of Ads Identity: develop probabilistic models for identity resolution and link on‑platform and off‑platform actions to maximize addressability while honoring privacy.
  • Advance Lift Methodologies & Experimentation: own the statistical rigor behind Reddit’s Brand and Conversion Lift products and innovate experimental design, developing infrastructure for large‑scale, high‑velocity, low‑bias testing for advertisers.
  • Maximize Signal for Predictive Performance: define strategy for new signal sources, mathematically quantify value, and work with modeling teams to incorporate signals into predictive models, improving bidding efficiency and ROAS.
  • Define Ground Truth & Evaluation Frameworks: solve the industry‑wide challenge of validating identity and measurement, designing objective functions and truth sets used to train models and measure the incremental impact of our identity graph.
  • Lead Through Cross‑Functional and Technical Influence: collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Mentor others and champion best practices across modeling, experimentation, and measurement.
Qualifications
  • Required:
  • Advanced degree (Master’s or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research.
  • For M.S. holders: 10+ years of industry experience in applied science or data science roles.
  • For Ph.D. holders: 6+ years of industry experience in applied science or data science roles.
  • Deep understanding of the ads ecosystem.
  • Demonstrated expertise in at least one of the following areas:
    • Measurement & Experimentation at Scale (focus on lift and attribution).
    • Identity Graph Creation & Resolution Methodology and Infrastructure.
    • Predictive Modeling with Signal Loss.
  • Advanced proficiency in statistical programming (Python or R) and SQL.
  • Experience with machine learning or optimization techniques.
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies.
  • Exceptional problem‑solving and communication skills, with a track record of influencing product and engineering partners.
  • Experience working in fast‑paced, ambiguous environments with cross‑functional teams.
Benefits
  • Global benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
  • Family Planning Support.
  • Gender‑Affirming Care.
  • Mental Health & Coaching Benefits.
  • Comprehensive Medical Benefits & Health Care Spending Account.
  • Registered Retirement Savings Plan with matching contributions.
  • Income Replacement Programs.
  • Flexible Vacation & Paid Volunteer Time Off.
  • Generous Paid Parental Leave.
Equal Opportunity Employer

Reddit is proud to be an equal opportunity employer and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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