Data Scientist
iHeartMedia
AWSPython
Staff Data Scientist
Headspace
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $140,400 - $224,250 per year
Job Level
Lead
Tech Stack
Amazon RedshiftPythonSparkSQLTableau
About the role
- Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities.
- Provide thought leadership by collaborating with cross-functional teams to translate complex business problems into scalable analytical frameworks. Recommend and implement actionable insights that drive measurable results.
- Serve as the organization's subject matter expert on advanced statistical analysis, experimental design, data science approaches, and financial impact analysis, ensuring best practices are followed.
- Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies.
- Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency.
- Lead the development of high-quality data product requirements, dashboard scopes, and automated reporting solutions. Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders.
- Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks.
- Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact.
Requirements
- 8+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in rapid growth environments.
- 6+ years of experience working directly with executive leadership and product leaders, showcasing the ability to align analytics, data science with strategic goals.
- 8+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization.
- 6+ years of experience owning and managing data products while driving their strategic utilization to create business impact.
- 4+ years of progressive experience in healthcare analytics (preferred).
- 8+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark).
- Advanced skills in SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.
- Required expertise in SQL, Python, Looker, Tableau, Statistics, and Amplitude for event-based deep dives and advanced analytics.
- Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field.
Benefits
- base salary
- stock awards
- comprehensive healthcare coverage
- monthly wellness stipend
- retirement savings match
- lifetime Headspace membership
- generous parental leave
- more
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
advanced statistical analysisexperimental designdata sciencefinancial impact analysisroot cause analysisautomation solutionsdata product managementcustomer growth analyticslifecycle optimizationbig data technologies
Soft skills
thought leadershipcollaborationcommunicationproblem-solvingstakeholder engagementproject managementstrategic alignmentprioritizationinitiativepartnership building
