Leverage statistical tools, deep learning, and marketing data to build innovative, reproducible data solutions for Wpromote's teams and clients, extracting key insights and unlocking new performance opportunities.
Requirements
- Strong programming skills in R, Python, and SQL
- 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
- Ability to go beyond familiar algorithms and proactively explore new methodologies to solve business challenges
- Working experience in developing and deploying to cloud providers such as AWS and Google Cloud Platform
Responsibilities
- 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
- Proactively identifying issues, raising them to the team, and proposing and implementing effective solutions
Other
- Partner cross-functionally with Data Strategy, Engineering, Product, and Reporting Solutions
- Work directly with clients to build them elegant solutions to their marketing problems
- Join client meetings as needed to understand client data problems and propose innovative solutions
- Genuine interest in contributing to a data-driven future in digital marketing within a fast-growing organization
- This position is not eligible for immigration sponsorship
