Sr. Data Scientist, Performance Marketing

Ladders

United States

Remote

USD 140,000 - 288,000

Full time

43 hours ago
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Benefits offered by this job

Equitable workplace culture
Flexible remote work with occasional U
Equity participation

Job summary

Ladders is seeking a Senior Data Scientist, Performance Marketing, to drive user growth through rigorous data science in a remote setting. You will develop measurement approaches, build predictive models, and partner with cross-functional teams to optimize marketing decisions and outcomes.

The role emphasizes statistical rigor, experimentation, and translating complex analyses into clear business recommendations.

Qualifications

  • Minimum 5 years of experience applying scientific methods to real-world problems.
  • Master's degree in a quantitative field such as mathematics, statistics, computer science, or engineering.
  • Hands-on experience with marketing measurement solutions.
  • Strong background in statistics and quantitative analysis.
  • Proficiency in SQL/Hive and at least one scripting language, preferably Python or R.
  • Excellent communication skills for conveying complex analyses to diverse stakeholders.
  • Experience leading technical projects and a strong experimentation background.

Responsibilities

  • Conduct deep strategic analysis to drive user growth through performance marketing.
  • Evolve testing frameworks to improve marketing measurement.
  • Build and deploy statistical and machine learning models for optimization.
  • Collaborate with cross-functional teams on product and business challenges.
  • Translate analytical findings into actionable insights for stakeholders.
  • Design and maintain dashboards for data-driven decision-making.
  • Automate reporting and support deep-dive analysis through ETL data pipelines.

Skills

Marketing measurement
Statistics & analytics
Experimentation
Python or R
Communication
Project leadership

Education

Master's degree in quantitative field

Tools

SQL/Hive

Job description

  • Design and maintain dashboards for data-driven decision-making

For our client, we are seeking a Sr. Data Scientist, Performance Marketing to join the team of a leader in the Consumer Technology space.


This role will focus on using data science to improve user growth through performance marketing in a fast-moving consumer technology environment. You will develop measurement approaches, build predictive and machine learning models, and partner closely with cross-functional stakeholders to guide optimization and decision-making. The position requires a strong blend of statistical rigor, experimentation expertise, and the ability to turn complex analyses into clear business recommendations.


Location: Remote


Compensation: $139,764 – $287,749 annually


Responsibilities

  • Conduct deep strategic analysis to drive user growth through performance marketing
  • Evolve testing frameworks to improve marketing measurement
  • Build and deploy statistical and machine learning models for optimization
  • Collaborate with cross-functional teams on product and business challenges
  • Translate analytical findings into actionable insights for stakeholders
  • Design and maintain dashboards for data-driven decision-making
  • Automate reporting and support deep-dive analysis through ETL data pipelines

Qualifications

  • Minimum 5 years of experience applying scientific methods to real-world problems
  • Master's degree in a quantitative field such as mathematics, statistics, computer science, or engineering
  • Hands-on experience with marketing measurement solutions
  • Strong background in statistics and quantitative analysis
  • Proficiency in SQL/Hive and at least one scripting language, preferably Python or R
  • Excellent communication skills for conveying complex analyses to diverse stakeholders
  • Experience leading technical projects and a strong experimentation background

Benefits

  • Equitable and inclusive workplace culture
  • Flexible working model with occasional in-office collaboration
  • Opportunities for equity participation

Our client is an equal opportunity employer.

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