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  • Python
  • SQL
  • Big Data
  • Data Visualization
  • A/B Testing
  • Power BI
151 days ago

Performance Marketing at Pierce operates at the intersection of marketing, data and technology. We are currently looking for a Data Scientist supporting our Performance Marketing program. The role will cover broad areas like optimizing media spend towards LTV, building attribution models, leading data collection designs and participating in other initiatives that will help further skyrocket our growth. We’re looking for a passionate data scientists to take on some of the most interesting problems in e-commerce and performance marketing, to define solutions that make a big impact on our bottom line, and to help shape the future of what is possible.


As a data scientist, you will work collaboratively across IT, analytics and marketing functions to activate data. The role not only requires a background in math, analytics and programming, but also a passion for business, a desire to go into uncharted territory with bold new ideas, and a willingness to go the last mile on execution – the petrolhead way!


Work in a small, cross-functional team to unlock the potential of Pierce’s growth technology and the teams who leverage it;

Partner and collaborate with analytics, marketing and IT teams across Pierce to drive implementation and adoption of the stack;

Set business metrics that measure the health of our customer acquisition and retention efforts;

Apply marketing experimentation learnings to day-to-day campaign measurement and reporting; forecast impact and provide ongoing recommendations for optimization;

Drive innovation by developing new measurement methodologies, leveraging advanced data modelling techniques (e.g. causal inference, marketing mix modelling, etc.);

Dig into the data to uncover insights, design experiments and measure the impact, and help influence decision-making across the entire organization.


We work with Google Marketing Platform (GA360, CM, SA360);
We work with Google Cloud Platform;
For in-house tooling we use Docker and Kubernetes;
For data visualization we use Power BI, though if you have any preferences where to do your analysis - go ahead!


Gross Profit bidding - activating gross profit data across media buying stack;
Activating cross-channel attribution in media buying;
Life time value - how we can find out a way to adjust media buying with life time value dimension;
Productizing Causal Impact studies to measure the impact of the biggest changes.

We like to experiment and develop things in a sandbox environment - as long as it adds clear business value, we welcome new ideas!

2+ years of industry experience in a data science or analytics role;
Strong analytical skills, including analysis and modelling of big data, statistics, A/B testing, and experimental design required;
Solid technical skills, ideally informed by years working with SQL, Python or R. Experience in programming, especially with data science and visualization libraries;
Understanding of statistical modelling/forecasting techniques;
Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business;
You are an expert in taking high level questions and crystalizing them into impactful experiments or statistical analysis;
Ability to work in a fast-paced environment, both independently and in a team.

It would be great if you also bring:
Deep understanding of the tools that power marketing automation, experimentation, personalization, attribution, and analytics;
Experience with Google’s Marketing Platform;
Experience with Google Cloud;
Understanding of core marketing analytics concepts: attribution & marketing mix modelling, single view of customer framework; marketing channel and performance metric measurement;

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