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16 часов Π½Π°Π·Π°Π΄

Senior Staff Data Scientist (Consumer Relevance)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Canada/United_states)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
c1
Π‘Ρ‚Ρ€Π°Π½Π°
US/Canada
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify RU Global, списка ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ с восточно-СвропСйскими корнями
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Senior Staff Data Scientist (Consumer Relevance): Developing and optimizing relevance measurement and evaluation frameworks for feeds, search, and recommendation systems with an accent on ranking quality and user satisfaction. Focus on designing complex experiments, implementing causal inference methodologies, and defining metrics that predict long-term user retention.

Location: Remote (Ontario, Canada)

Company

hirify.global is a community-driven platform and one of the internet's largest sources of authentic, user-generated information.

What you will do

  • Act as the technical authority on relevance metrics and evaluation methodology across the Consumer organization.
  • Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems.
  • Design and analyze complex experiments, addressing spillover effects and long-run impacts of ranking changes.
  • Identify and unlock product insights regarding content quality and personalization effectiveness.
  • Partner with ML engineers and product teams to translate model performance into user-facing impact.
  • Mentor other data scientists on experimentation best practices, causal reasoning, and statistical rigor.

Requirements

  • Ph.D. in Statistics, CS, Information Retrieval, Economics, or similar (8+ years exp) or M.S. (12+ years exp).
  • Must be based in Ontario, Canada.
  • Deep expertise in metrics design, offline metrics, and counterfactual evaluation for ranking systems.
  • Strong grounding in causal inference, experimental design, and variance reduction techniques.
  • Expert knowledge of SQL and proficiency in R and/or Python for statistical computing.
  • Experience mentoring data scientists and influencing organizational strategy via data-driven insights.

Nice to have

  • Published research or industry contributions in recommendation systems or causal inference for ranking.
  • Experience with social network or user-generated content platforms.

Culture & Benefits

  • Comprehensive medical benefits and Health Care Spending Account.
  • Registered Retirement Savings Plan (RRSP) with matching contributions.
  • Flexible vacation and paid volunteer time off.
  • Generous paid parental leave and family planning support.
  • Mental health, coaching, and gender-affirming care benefits.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’