Degree in Computer Science, Engineering, Statistics, Economics, or a related quantitative discipline preferred
M.S. plus; 2 years of experience, or B.S. plus; 4 years of relevant experience
Strong programming skills in R, Python, and SQL
Professional experience within the digital advertising or MarTech field
Requirements:
Designing, prototyping, and testing new products and data solutions
Developing scalable, efficient, and automated workflows capable of analyzing large volumes of data from various sources
Conducting incrementality tests and building Media Mix Models (MMMs)
Integrating scalable workflows into production environments by collaborating with software engineers
Job description
The Role
We are looking for a Data Scientist who can leverage statistical tools, deep learning, and troves of marketing data to build innovative, reproducible data solutions for our teams and clients. In this role, you'll partner cross-functionally with Data Strategy, Engineering, Product, and Reporting Solutions to design machine learning workflows and statistical models that extract key insights from troves of marketing data. You may also work directly with clients to build them elegant solutions to their marketing problems.
Your solutions will scale as productized apps used by our industry-leading marketers to unlock new performance opportunities for our clients. You will have the opportunity to challenge the limits of what's possible with data science and performance marketing, designing Client solutions through Time Series Analysis, Experimental Design, A/B Testing, Optimization, Reinforcement Learning, LLMs, etc. You Will Be
Working closely with Product Development to identify high-impact business problems that can be solved through data science and machine learning methods
Designing, prototyping, and testing new products and data solutions
Developing scalable, efficient, and automated workflows capable of analyzing large volumes of data from various sources
Conducting incrementality tests and building Media Mix Models (MMMs)
Integrating scalable workflows into production environments by collaborating with software engineers
Maintaining data science and machine learning workflows by fixing bugs or improving model performance as needed
Articulating complex technical results and methodologies to internal stakeholders
Joining client meetings as needed to understand client data problems and propose innovative solutions
Proactively identifying issues, raising them to the team, and proposing and implementing effective solutions
You Must Have
Degree in Computer Science, Engineering, Statistics, Economics, or a related quantitative discipline preferred
M.S. + 2 years of experience, or B.S. + 4 years of relevant experience
Strong programming skills in R, Python, and SQL
Professional experience within the digital advertising or MarTech field
Demonstrated success delivering data-driven products, including involvement across the full product development lifecycle
Deep understanding of statistical modeling and machine learning techniques
Experience with A/B testing (preferably geo-holdouts) and Media Mix Models (MMMs)
Strong working knowledge of large datasets, preferably within the digital marketing domain
Experience with cloud OLAP database platforms such as BigQuery and Snowflake
Strong communication skills with both technical and non-technical audiences
Ability to go beyond familiar algorithms and proactively explore new methodologies to solve business challenges
Genuine interest in contributing to a data-driven future in digital marketing within a fast-growing organization
Nice To Have
Solid knowledge of working with marketing and/or user acquisition data across a variety of industries
Working experience in developing and deploying to cloud providers such as AWS and Google Cloud Platform
An understanding of state-of-the-art machine learning algorithms and packages
Understanding of path, market basket, and clean room analyses
