Senior Data Scientist

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist (Contract) in Chile. This contract role offers an exciting opportunity to contribute to a high-impact research initiative focused on understanding user behavior, traffic patterns, and engagement across digital platforms. You will work with large-scale datasets, apply advanced statistical and causal inference methods, and produce actionable insights to inform product and content strategy. Operating in a collaborative, remote-first environment, you will partner with cross-functional teams to support data-driven decision-making. This position is ideal for a technically proficient data scientist who thrives in ambiguous, fast-moving research projects and wants to make measurable contributions over a defined 16-week engagement. Your work will directly influence understanding of user pathways, content quality, and engagement trends. Accountabilities Conduct analyses of traffic health, referrer patterns, and visibility trends using time-series and statistical methods. Explore relationships between traffic sources and user engagement, including contribution likelihood and on-platform behavior. Support natural experiments and evaluate the downstream impact of changes in content visibility or platform features. Produce clean, well-documented datasets, summary tables, Jupyter notebooks, and analytical visuals. Document methods, assumptions, and analytical decisions; provide internal briefs or memos summarizing key findings. Collaborate with cross-functional teams including Data Engineering, Research & Decision Science, and Product & Technology. Contribute to reproducible workflows and handover materials to ensure continuity of research insights. Requirements Master’s or PhD in a quantitative field such as statistics, data science, economics, mathematics, or computer science. 6+ years of professional experience in data science or quantitative analysis roles. Advanced proficiency in SQL for large, distributed datasets and Python for data analysis (pandas, numpy, statsmodels, scikit-learn, Jupyter). Experience with time-series modeling, applied causal inference (Diff-in-Diff, event studies), and analyzing log-level behavioral data. Strong analytical skills, with the ability to assess data feasibility, design methodological approaches, and interpret uncertainty. Excellent communication skills for collaborating with technical and non-technical stakeholders. Ability to work independently in a fast-moving, ambiguous environment and manage competing priorities. Experience with GitLab or similar version control and collaboration platforms. Familiarity with Wikimedia or large-scale content platforms is a plus. Benefits Competitive contract pay aligned with experience and location. Fully remote work with flexible hours overlapping the Eastern Time Zone. Opportunity to work on high-impact, research-driven projects influencing platform strategy. Collaboration with diverse, expert teams in a mission-driven environment. Exposure to advanced analytics, causal inference, and time-series methodologies. Structured handover and documentation to support professional growth and portfolio development. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best Data Privacy Notice By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #J-18808-Ljbffr