Senior Data Scientist – Marketing

This is a fully remote position, open to applicants in Alaska, +7 more states.

📋 Description

• Develop models and optimization strategies for upper-funnel marketing performance, encompassing spend allocation, channel mix optimization, budget pacing, media efficiency assessment, audience strategy, and projected revenue impact.

• Design and implement recommendation engines, scenario planning tools, and AI-assisted workflows.

• Lead experimentation and causal measurement initiatives across upper-funnel marketing programs.

• Construct and sustain unified data foundations spanning marketing, revenue, retail, and product systems.

• Create dashboards, reporting layers, and ongoing analytical products to monitor funnel health, campaign efficiency, retail performance, and revenue contributions.

• Collaborate with Marketing and stakeholders to identify growth and efficiency challenges and guide marketing expenditure decisions.

• Work together with Data Engineering to enhance data quality, instrumentation, metric definitions, and the reliability of data pipelines.

• Utilize predictive modeling, optimization, and LLM-enabled workflows where they can provide significant leverage.

• Convert analytical insights into actionable recommendations for both technical and executive stakeholders.

• Contribute through project ownership, documentation, peer reviews, mentoring, and cross-functional teamwork.

⛳️ Requirements

• Over 6 years of experience in data science, machine learning, or advanced analytics, with a proven history of managing high-impact business challenges from start to finish.

• Strong domain expertise in supporting Marketing, Growth, Retail, or other go-to-market functions within a consumer, e-commerce, retail, or digital environment.

• Practical experience in developing 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.

• Proven experience in creating decision systems that operationalize analytical outputs into business workflows and recurring decision-making processes.

• Experience in unifying and transforming data across various systems to establish reliable, scalable datasets.

• Familiarity with experimentation, causal inference, forecasting, and optimization techniques.

• Strong skills in SQL (dbt) and Python.

• Experience in building analytical data models, machine learning workflows, and production-ready measurement systems.

• Experience applying AI techniques in real-world business scenarios, ideally including LLM-enabled workflows, recommendation systems, decision support tools, or other AI-driven products.

• Familiarity with modern cloud and data platforms such as Databricks, AWS, dbt, Snowflake, or similar tools.

• Ability to clearly convey complex analytical concepts and translate model outputs into actionable recommendations.

• Capability to collaborate 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 along with employee discounts for friends & family.

• 20 days of paid time off plus 13 paid holidays and 8 days of flexible wellness time off.

• Paid sick leave and parental leave.