Data Scientist, Marketing Measurement and Optimization R&D


  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Enterprise SaaS
  • Post Date: 05/15/2024
  • Website:
  • Company Address: 1111 Broadway, 5th Floor, Oakland, California 94607, US
  • Salary Range: $50,000 - $150,000

About LiftLab

Liftlab is the premier provider of science-powered software that optimizes marketing spend and revenue forecasting for peak efficiency, growth and profitability.

Job Description


Digital marketing teams use LiftLab to uncover the economics of their ad platform partners including FB/Instagram, Google, Display, Snapchat, TikTok and Pinterest. They use these signals to make daily spend decisions with confidence. LiftLab customers know for each channel, tactic, campaign if the revenue for the last $1 spent covered its cost.

LiftLab is built on a foundation of advanced algorithms and sophisticated media experimentation. Some of the most marquee brands already run LiftLab and we’re growing at a rapid pace.



  • Prototype and develop new algorithms and features for marketing experiment analysis, market response modeling, budget optimization

  • Enhance our current modeling, analysis and optimization backend

  • Work closely with Analysts, Customer Success Managers, Marketing Scientists to ensure relevance and applicability of the algorithms and to develop prioritizations

  • Work with engineering to incorporate new functionality into the LiftLab solution

  • Create documentation and teaching materials

  • Communicate methodology internally and externally

The ideal candidate will bring a passion for learning, an interest in how innovation can accelerate media investment decisions and a willingness to dive into new tools and systems.



  • Hands-on experience using R and Python, and SQL for data manipulation and statistical analysis

  • Ability to write well-structured and documented prototype code working on real client datasets

  • Deep understanding of statistical techniques and principles of mathematical optimization

  • Ability to tolerate ambiguity dealing with messy data and striking a good balance between pragmatism and technical rigor

  • Strong ability to communicate technical concepts

  • Bachelor’s degree or higher in a quantitative field

  • Some industry experience in marketing analytics or related fields is desirable


Fully remote, with normal work hours on US Mountain Time