Senior Data Scientist – Marketing

🔥 0 minutes ago

🐻 Alaska, Iowa, +6 more states – Remote

🐻 Alaska – Remote 🌾 Iowa – Remote 🌾 Nebraska – Remote 🎸 Mississippi – Remote 🗿 South Dakota – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote

💵 $147.9k - $203k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ŌURA

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

🏭 Manufacturing

💼 Consulting

Healthcare • Manufacturing • Consulting

ŌURA is a company that produces smart rings designed to provide in-depth health metrics and insights. The Oura Ring tracks a variety of health-related data such as sleep patterns, heart rate, activity levels, and stress. It aims to help users live healthier and more productive lives through accurate biometrics tracked via a comfortable ring worn all day and night. With features that benefit women's health, heart health, and overall wellness, ŌURA rings are marketed as both technologically advanced and user-friendly devices for personal health monitoring.

📋 Description

• Develop models and optimization approaches for upper-funnel marketing performance, including spend allocation, channel mix optimization, budget pacing, media efficiency measurement, audience strategy, and forecasted revenue impact • Design and operationalize recommendation engines, scenario planning tools, and AI-assisted workflows • Lead experimentation and causal measurement across upper-funnel marketing programs • Build and maintain unified data foundations across marketing, revenue, retail, and product systems • Build dashboards, reporting layers, and recurring analytical products for funnel health, campaign efficiency, retail performance, and revenue contribution • Partner with Marketing and stakeholders to define growth and efficiency problems and drive marketing spend decisions • Collaborate with Data Engineering to improve data quality, instrumentation, metric definitions, and pipeline reliability • Apply predictive modeling, optimization, and LLM-enabled workflows where they provide practical leverage • Translate analytical work into recommendations for non-technical and executive stakeholders • Contribute through project ownership, documentation, peer review, mentoring, and cross-functional collaboration

🎯 Requirements

• 6+ years of experience in data science, machine learning, or advanced analytics, with a track record of owning high-impact business problems end to end • 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 such as spend optimization models, channel or campaign measurement frameworks, media mix or incrementality approaches, propensity models, budget planning systems, or upper-funnel decisioning systems • Demonstrated experience building decision systems that operationalize analytical outputs into business workflows and recurring decisions • Experience unifying and transforming data across multiple systems to create reliable, scalable datasets • Experience with experimentation, causal inference, forecasting, and optimization methods • Strong proficiency in SQL (dbt) and Python • Experience building analytical data models, machine learning workflows, and production-quality measurement systems • Experience applying AI techniques in practical business settings, ideally including LLM-enabled workflows, recommendation systems, decision support tools, or other AI-native products • Experience with modern cloud and data platforms such as Databricks, AWS, dbt, Snowflake, or similar tools • Ability to communicate complex analytical concepts clearly and translate model outputs into actionable recommendations • Ability to partner effectively with cross-functional and distributed teams • Nice-to-have: experience in e-commerce, DTC, retail, omnichannel growth, marketing mix modeling, incrementality testing, attribution, budget planning, digital health, consumer technology, wearable products, mentoring, or 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 plus 13 paid holidays plus 8 days of flexible wellness time off • Paid sick leave and parental leave