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Director of Consumer Data Science (Remote - US)
Director of Consumer Data Science (Remote - US)Jobgether • US
Director of Consumer Data Science (Remote - US)

Director of Consumer Data Science (Remote - US)

Jobgether • US
5 days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Consumer Data Science in United States .

This role leads a high-impact consumer data science organization focused on transforming how data informs product, marketing, ads, and business strategy. The Director will drive advanced quantitative modeling, experimentation, and analytics to provide actionable insights across multiple functions. This position requires strategic vision, technical depth, and the ability to influence senior leaders. You will build and scale a multidisciplinary team of data scientists, ML engineers, and analytics professionals, strengthening data foundations and ensuring the organization is trusted, scalable, and scientifically rigorous. This is a unique opportunity to shape the data science culture and capabilities of a large-scale, highly-engaged consumer platform.

Accountabilities :

  • Lead the consumer data science organization, including data science, machine learning, analytics, and data engineering teams.
  • Partner with cross-functional leaders across Product, Engineering, Marketing, Ads, and Finance to provide clear, actionable insights that guide company strategy.
  • Establish and uphold high standards for data science quality, governance, and reproducibility across the organization.
  • Represent the company as a thought leader in data science, ML, experimentation, and measurement both internally and externally.
  • Develop senior leaders within the team and build a strong pipeline of technical talent.
  • Advance understanding of complex ecosystems, consumer behavior, and community interactions through sophisticated data modeling and experimentation.

Requirements

  • 10+ years of experience in data science, machine learning, or quantitative analytics, with 5+ years in senior leadership roles.
  • Proven ability to define, communicate, and execute a data vision that drives measurable business impact.
  • Deep expertise in data science, causal inference, machine learning, experimentation, and modern data platforms.
  • Strong technical and scientific foundation with experience building and scaling data science and analytics teams.
  • Exceptional influence, communication, and collaboration skills; able to present impartial insights to executives and cross-functional teams.
  • Demonstrated ability to develop senior talent and foster a high-performing, multidisciplinary organization.
  • Benefits

  • Competitive base salary : $260,800—$365,100 USD
  • Equity in the form of restricted stock units
  • Comprehensive healthcare coverage and income replacement programs
  • 401(k) with employer match
  • Family planning support and gender-affirming care
  • Mental health and coaching benefits
  • Flexible vacation and global company days off
  • Generous paid parental leave and volunteer time off
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

    Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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    Director Data Science • US

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