Data Scientist

Data Scientist • 3-Month Contract • Remote (Must be US-based) • $90Per Hour W2 This is an exciting contract opportunity to join a fast‑moving product team building next‑generation social experiences powered by AI and voice. You will play a pivotal role in shaping product direction through experimentation, activation insights, and high‑impact data work. The Company: They are an innovative product studio operating at the intersection of consumer social and AI. With millions of active users and multiple products in development, they are entering a period of major growth where data is central to every decision. The team values autonomy, collaboration, and a culture where talented builders can make a visible impact. They work remotely and support individuals who thrive in fast‑paced, high‑ownership environments. The Role and Deliverables: • Own end‑to‑end experimentation for a core product squad, including design, targeting, logging validation, and clear performance recommendations. • Conduct opportunity sizing and guide roadmap decisions through cohort analysis, historical data exploration, and structured evaluation of feature potential. • Monitor and investigate activation and retention metrics, identifying trends, diagnosing unexpected changes, and surfacing new opportunities. • Audit data quality, review production logging, and collaborate with engineers to ensure robust measurement frameworks and complete tracking coverage. • Deliver exploratory analyses that shape strategic direction and uncover product insights not yet identified by the team. • Progress toward predictive modelling work, including early identification of churn signals and drivers of long‑term retention. Your Skills and Experience: • Strong experience working as a data scientist within product‑focused environments. • High proficiency in SQL and Python, including the ability to understand production code, investigate logging, and recommend or implement tracking changes. • Proven capability designing and analysing experiments, with a clear understanding of what makes a rigorous and reliable test. • Ability to identify impactful questions proactively, translate ambiguous problems into structured analysis, and communicate concise recommendations. • Skilled in building dashboards and visualisations that drive decision‑making across teams. • Comfortable working autonomously in a fast‑moving environment, with a collaborative mindset and a focus on delivering high‑leverage insights.