Senior Data Scientist II, Marketing

Marketing Mix Modeling and Attribution

You’ll own our Marketing Mix Modeling and multi touch attribution capabilities, giving the Customer organization a reliable, current view of what is actually driving acquisition.

Translate model outputs into credible investment recommendations that help us allocate budget and resources intelligently across paid, owned, and partner channels.
Build and maintain the models and methodologies that underpin our understanding of marketing effectiveness and acquisition performance.
Technical Leadership and Business Partnership

You’ll provide technical guidance and peer review to other data scientists and analysts, share reusable methods, and help raise the quality of marketing science practices across the team.
You’ll also serve as the primary conduit between your work and business stakeholders, translating complex modeling and insights into clear, actionable recommendations. This is a role where ownership, independence, and strong communication skills are key.
What you’ll bring to the team
Advanced degree in a quantitative field (e.g., Mathematics, Physics, Social Science)
5+ years of experience in Data Science
3+ years of experience applying Data Science to marketing
Hands-on experience with Marketing Mix Modeling and/or multi-touch attribution in a commercial setting
Ability to bridge technical depth and business communication, your stakeholders include both engineers and marketing leaders, and you write and speak to both
Self-starter mentality with strong problem-solving and research skills; able to work independently to drive solutions
High proficiency in Python and SQL
Experience with ML/AI frameworks (e.g., XGBoost, LightGBM, Scikit-Learn, Pytorch) and proven track record of leveraging them for business impact
Hands-on experience with Spark/PySpark a plus
Proficiency with modern data stacks (e.g., Snowflake, Databricks, dbt)
Clear alignment with Zip’s core values
Nice to haves
Experience designing or contributing to next-best-action or decisioning systems
Background in consumer fintech or BNPL
Experience with LLMs and agentic workflows

Skills Required
Advanced degree in a quantitative field (e.g., Mathematics, Physics, Social Science)
5+ years of experience in Data Science
3+ years applying Data Science to marketing
Hands-on experience with Marketing Mix Modeling and/or multi-touch attribution in a commercial setting
High proficiency in Python and SQL
Experience with ML/AI frameworks (XGBoost, LightGBM, Scikit-Learn, PyTorch)
Proficiency with modern data stacks (Snowflake, Databricks, dbt)
Ability to bridge technical depth and business communication with stakeholders
Self-starter mentality with strong problem-solving and research skills
Clear alignment with Zip's core values
Hands-on experience with Spark/PySpark
Experience designing or contributing to next-best-action or decisioning systems
Background in consumer fintech or BNPL
Experience with LLMs and agentic workflows