Staff Data Scientist – Performance Marketing
Que
PythonSQLTableau
Director, Data Science & Analytics
Seek
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $165,000 - $185,000 per year
Job Level
Lead
Tech Stack
CloudPythonSparkSQL
About the role
- Lead a cross-functional team of analytics engineers, data scientists, and BI developers to deliver production-grade analytics and customer-facing applications
- Architect and maintain scalable data pipelines and model infrastructure using Snowflake and Python
- Define and enforce standards for modeling, version control, deployment, and governance to ensure modular, reusable, and maintainable analytics products
- Collaborate with data providers to interpret raw datasets, identify high-value features, and create analytics apps that drive customer success
- Ensure high performance and reliability for analytics products, from large Snowflake workloads to real-time prediction endpoints
- Deliver internal reporting infrastructure with automated metrics, instrumentation, and dashboards to guide product and business decisions
- Partner with product and engineering leadership to align analytics, provider workflows, and embedded delivery pipelines
- Champion AI/ML advancements, evaluating and integrating technologies like Snowflake Cortex and LLM-based APIs
- Own externally-facing data products including ML models, predictive pipelines, and embedded dashboards delivered as commercial software; manage full lifecycle from ingestion to ongoing support
Requirements
- 8+ years of experience in data infrastructure, applied analytics, or ML systems
- 4+ years in technical leadership roles
- Hands-on expertise with Snowflake, SQL, and Python
- Proficiency with distributed compute engines (e.g., Spark) and architecting DAG-based pipelines and parallel workflows
- Proven track record of delivering customer-facing analytics products, not just internal dashboards
- Deep understanding of analytics architecture in multi-tenant SaaS environments, including security, scalability, observability, and governance
- Experience leading collaboration across data, product, engineering, and external partners
- Familiarity with embedded BI tools (e.g., Sigma, Looker, ThoughtSpot)
- Interest in LLM-driven augmentation patterns and experience evaluating/integrating LLM-based APIs (OpenAI, Anthropic) and Snowflake Cortex
- Bachelor’s degree in a quantitative or technical field (Master’s preferred)
- Located in the United States; No Visa Sponsorship Available
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- PTO
- 16 annual company holidays
- 401K
- 10% annual bonus
- Remote (US-based)
- Work-life balance, ownership, and flexibility
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SnowflakePythonSQLSparkDAG-based pipelinesML systemsanalytics architecturecustomer-facing analytics productsembedded dashboardsLLM-based APIs
Soft skills
technical leadershipcollaborationcommunicationproblem-solvingteam managementstrategic thinkingcustomer success focuscross-functional teamworkstakeholder engagementproject management
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