The Data Scientist will analyze marketing data, optimize campaigns, build models for customer acquisition, and develop automated reporting solutions.
Zazzle is looking for an analytically minded Data Scientist to join our Marketing Science team. This role focuses on leveraging large datasets to drive insights and decision-making across our marketing channels, including Search, Social, Customer Retention, TV and more. You’ll work closely with marketers to optimize performance, integrate data sources, and develop models to improve marketing effectiveness using SQL, Python, and cloud-based analytics tools.
What You’ll Do
- Partner with marketing teams to analyze and optimize campaigns across SEM, Social, Customer Retention, and other paid and organic channels. Present findings and make recommendations in an impactful way.
- Work with large datasets from internal sources and ad platforms, using cloud-based databases (BigQuery, SQL) and data transformation tools (dbt) to integrate and analyze marketing data efficiently.
- Develop automated reporting solutions that support teams at all levels, including executives.
- Build models for customer acquisition, churn prediction, lifetime value (LTV) and marketing attribution.
- Design and evaluate marketing experiments, driving decision making for marketing strategy.
What We’re Looking For
- A degree in Analytics, Mathematics, Statistics, Computer Science, or a related field.
- Proficiency in SQL and experience with large-scale databases (BigQuery, Redshift, Snowflake or similar).
- Strong Python skills (pandas, numpy, etc.) for data analysis and automation.
- A curiosity about marketing data and how digital advertising works (e.g., PPC, social media, email marketing).
- Ability to communicate complex data insights to non-technical audiences.
- A curious and business-driven mindset with a passion for problem-solving.
Bonus Points
- Experience with cloud platforms like GCP, AWS or Azure.
- Familiarity with version control tools (Git, Bitbucket)
- Experience with the marketing measurement trifecta (experiments, attribution modelling, MMM)
- Hands-on experience with data visualization tools like Tableau or Looker.
- Hands-on experience setting up a website and implementing tracking (e.g., configuring Google Analytics, setting up conversion tracking, or managing tags).
Top Skills
AWS
Azure
BigQuery
Bitbucket
GCP
Git
Looker
Numpy
Pandas
Python
Redshift
Snowflake
SQL
Tableau
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