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.

Responsibilities

• 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.

Requirements

• 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

Location

Fully remote, with normal work hours on US Mountain Time