Position: Data Scientist III
Type: Full-time
Compensation: $70 – $95/hour
Location: Menlo Park, CA, USA (Onsite)
Commitment: Full-time
Role Responsibilities
• Conduct rigorous analysis of large, complex datasets to identify trends, patterns, and actionable insights across products, platforms, partners, and user interactions.
• Design, implement, and maintain critical metrics to measure ecosystem health, growth, and engagement.
• Develop and execute structured experiments to evaluate new product features, ecosystem strategies, and partnerships.
• Collaborate closely with cross-functional teams including Product and Engineering to define analytical requirements and inform strategic decision-making.
• Build sophisticated dashboards and detailed reports to communicate insights to both technical and non-technical stakeholders.
• Perform ad hoc analyses to support urgent business and strategic inquiries with high-quality, timely insights.
• Apply advanced statistical modeling and analytical techniques to solve complex business problems.
• Support strategic initiatives by translating data into clear, actionable recommendations.
Requirements
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a closely related quantitative field.
• Strong professional experience in data science, analytics, or a comparable role.
• Strong proficiency in SQL and at least one programming language such as Python or R.
• Hands-on experience with data visualization tools including Tableau, Unidash, or Metrics360.
• Excellent communication skills with the ability to clearly present complex findings to diverse stakeholders.
• Demonstrated ability to work independently and manage competing priorities in a fast-paced environment.
• Strong analytical, modeling, and problem-solving skills with attention to detail.
• Experience working with large-scale datasets in technology or platform ecosystems preferred.
• Familiarity with internal data tools such as Presto, Scuba, or Hive preferred.
• Experience with experimentation design and causal inference methodologies preferred.
Application Process
• Upload resume (portfolio required)
• Interview (15–30 min)
• Submit form
