Data Science Manager

Imprint

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • 🇺🇸 United States

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Salary

💰 $200,000 - $250,000 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • Set direction of the Data Science team, guiding the roadmap across optimization and automation.
  • Own hiring strategy and recruitment to grow the team with exceptional talent.
  • Manage, mentor, and develop a team of Data Scientists, raising the bar on technical rigor, ownership, and impact.
  • Partner with cross-functional leaders to shape problem definition, prioritization, and end-to-end execution. In particular, partner with Product & Marketing on experiment design, product analytics, spend efficiency, and lifecycle analytics.
  • Define modeling, experimentation, and machine learning best practices.
  • Review analyses, models, and dashboards to ensure strong methodology and reliable decision-support.

Requirements

  • 6+ years in data science, product analytics, or applied ML, including 3+ years experience leading teams and hiring strong talent.
  • Strong background in experimentation, causal inference, forecasting, or optimization.
  • Strong proficiency in Python, SQL, and statistical methods, with hands-on depth if needed.
  • Experience collaborating with stakeholders in a fast-paced environment with evolving priorities.
  • Ability to turn complex analyses into concise, actionable insights for technical and non-technical partners.
  • A people-first leader who gives direct feedback, develops talent, and builds trust.
Benefits
  • Competitive compensation and equity packages
  • Leading configured work computers of your choice
  • Flexible paid time off
  • Fully covered, high-quality healthcare, including fully covered dependent coverage
  • Additional health coverage includes access to One Medical and the option to enroll in an FSA
  • 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
  • Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity

Applicant Tracking System Keywords

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

Hard skills
data scienceproduct analyticsapplied machine learningexperimentationcausal inferenceforecastingoptimizationPythonSQLstatistical methods
Soft skills
leadershipmentoringteam developmentcollaborationcommunicationproblem definitionprioritizationfeedbacktrust buildinginsight generation