Staff Data Scientist - Hybrid Role for Growth & Experiments

Taskrabbit

San Francisco (CA)

Hybrid

USD 170,000 - 225,000

Full time

28 hours ago
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Benefits offered by this job

Health insurance
401k match
Generous time off
IKEA discounts
Reproductive health support

Job summary

Taskrabbit is seeking a Staff Data Scientist to partner with Product and Operations to deliver data-driven insights and scalable solutions that accelerate growth while reducing marketplace losses.

You will own advanced experimentation, causal inference, and build data agents; require 7+ years in data science, strong SQL, Python, dbt, and Git; hybrid role with 2 in-office days in SF or NYC.

Qualifications

  • BS, MS or Ph.D. in Statistics, Econometrics, CS, Engineering, Mathematics, Data Science, OR related field.
  • 7+ years of industry experience in data science.
  • Strong experience with advanced experimentation and statistical modeling.
  • Excellent analytical and problem-solving skills.
  • Excellent business acumen and strategic thinking in commerce/risk domains.
  • Proficient in SQL and Python; familiar with data pipelines (dbt) and Git.
  • Experience in productionizing ML models and ML Ops is a plus.

Responsibilities

  • Define high-impact analytical problems with stakeholders and solve them using advanced analytical approaches.
  • Lead data science initiatives (experimentation system, data agents, eventing systems).
  • Collaborate with Product and Commercial Operations to measure success and drive growth.
  • Promote a data-driven culture with best practices in analysis and interpretation.

Skills

SQL
Python
dbt
Git
Executive communication
Data storytelling

Education

BS/MS/PhD in quantitative field

Tools

dbt
Git

Job description

Taskrabbit is seeking a Staff Data Scientist to partner with Product and Operations to deliver data-driven insights and scalable solutions that accelerate growth while reducing marketplace losses.

You will own advanced experimentation, causal inference, and build data agents; require 7+ years in data science, strong SQL, Python, dbt, and Git; hybrid role with 2 in-office days in SF or NYC.

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