Senior Data Scientist | Remote

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