Spotify

Senior Data Scientist – Ads Data Platform

Spotify

full-time

Posted on:

Location Type: Remote

Location: Remote • New York • 🇺🇸 United States

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Salary

💰 $143,023 - $204,319 per year

Job Level

Senior

Tech Stack

PythonSQL

About the role

  • Partner with product and engineering to understand audience product problems and propose data-driven solutions.
  • Deliver solutions to challenging, large-scale problems with complexity and ambiguity independently
  • Write code (Python, R, SQL, etc.) to obtain, manipulate, and analyze large datasets
  • Communicate data-driven insights and recommendations to key partners
  • Work closely with a cross-functional team of product owners, product marketers, and engineers
  • Prioritize business solutions, regardless of product area

Requirements

  • 5+ years of experience in a similar data science role and a degree in a quantitative subject area
  • comfortable building and maintaining large, complex datasets
  • technical competence to perform advanced analytics and data extraction (using SQL, and Python or R)
  • ability to explain complex concepts to non-technical stakeholders and conduct nuanced discussions with engineers
  • deep knowledge of statistical inference, preferably including experience with Bayesian methods
  • experience in experimental design / causal inference
  • experience taking a project idea and bringing it to life through self-driven scoping, planning, and stakeholder communication
  • ad tech experience is a plus
Benefits
  • health insurance
  • six month paid parental leave
  • 401(k) retirement plan
  • monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonRSQLdata manipulationdata analysisadvanced analyticsstatistical inferenceBayesian methodsexperimental designcausal inference
Soft skills
communicationproblem-solvingstakeholder communicationself-drivencross-functional collaborationability to explain complex conceptsplanningprioritization
Certifications
degree in quantitative subject area