Senior Data Scientist - Marketing

What you'll do

• Develop marketing performance models and optimization approaches for spend allocation, channel mix, budgeting, and revenue forecasting.
• Lead experimentation and causal measurement, and build reliable data foundations, dashboards, and recurring analytical products.
• Operationalize recommendations and AI-assisted workflows, translating analyses into clear actions for business and executive stakeholders.

What they ask for

• 6+ years of experience in data science, machine learning, or advanced analytics, owning high-impact business problems end to end.
• Strong experience supporting Marketing, Growth, Retail, or other go-to-market functions in a consumer, e-commerce, retail, or digital business.
• Hands-on experience building marketing data science solutions and decision systems that operationalize analytical outputs.
• Strong proficiency in SQL (dbt) and Python; experience with experimentation, causal inference, forecasting, optimization, and reliable data pipelines.

Nice to have

• Experience in e-commerce, DTC, retail, or omnichannel growth environments.
• Experience with marketing mix modeling, incrementality testing, attribution, or budget planning workflows.

Pay

$172,550 - $203,000 USD base salary; $158,950 - $187,000 USD base salary; $147,900 - $174,000 USD base salary

Tools

SQL, dbt, Python, Databricks, AWS, Snowflake

AI focus

Apply AI/ML methods including predictive modeling, optimization, recommendation systems, and LLM-enabled workflows to improve marketing decisions and business workflows.