Senior Data Scientist - Marketing

The role

This Senior Data Scientist will partner with Marketing, Finance, Retail, and Product to translate marketing data into business decisions. You will develop models, design decision systems, and lead experimentation to improve marketing efficiency and spend allocation.

What you will do

• Develop models and optimization approaches for upper-funnel marketing performance.
• Design and operationalize decision systems including recommendation engines and scenario planning tools.
• Lead experimentation and causal measurement across upper-funnel marketing programs.
• Build and maintain data foundations unifying marketing, revenue, retail, and product data.
• Build dashboards, reporting layers, and recurring analytical products.
• Partner with Marketing to translate business questions into analytical frameworks.
• Collaborate with Data Engineering to improve data quality and pipeline reliability.
• Apply AI/ML methods including predictive modeling and LLM-enabled workflows.
• Translate complex analytical work into recommendations for stakeholders.
• Raise the technical bar through project ownership, documentation, and mentoring.

Required qualifications

• 6+ years of experience in data science, machine learning, or advanced analytics.
• Strong domain 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.
• Demonstrated experience building decision systems that operationalize analytical outputs.
• Proven experience of data engineering intuition.
• Experience with experimentation, causal inference, forecasting, and optimization methods.
• Strong proficiency in SQL (dbt) and Python.
• Experience applying AI techniques in practical business settings.
• Experience working with modern cloud and data platforms such as Databricks, AWS, dbt, Snowflake, or similar tools.
• Proven ability to communicate complex analytical concepts to non-technical partners.
• Proven ability to partner effectively with cross-functional and distributed teams.

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.
• Experience connecting marketing, retail, and commercial performance data to downstream revenue outcomes.
• Experience in digital health, consumer technology, or wearable products.
• Experience mentoring other data scientists and helping shape cross-functional analytical roadmaps.

Benefits

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off
• 13 paid holidays
• 8 days of flexible wellness time off
• Paid sick leave
• Parental leave

Before you apply

• Not considering candidates residing in Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

About the company

ŌURA helps its global community gain knowledge of readiness, activity, and sleep quality using the Oura Ring and its connected app. The company is a quickly growing organization focused on helping people live healthier and happier lives.