Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the complete methodology for causal inference, identification strategies, and predictive modeling.

• Design, conduct, and assess experiments — encompassing everything from hypothesis formulation to power analysis and result interpretation.

• Engage in product initiatives where data signals serve as the primary deliverable, rather than merely a supplementary element.

• Collaborate closely with Product, Economics, and Research teams as key stakeholders to convert business inquiries into robust analytical frameworks.

• Work alongside Engineering to implement models and evaluation pipelines, ensuring that analytical outputs are ready for production.

• Generate actionable insights and articulate complex methodologies to both technical and non-technical audiences in a clear and concise manner.

• Maintain high standards in documenting approaches, assumptions, methodologies, and results — fostering institutional knowledge that expands with the team.

⛳️ Requirements

• Postgraduate degree in Statistics, Mathematics, Computer Science, Economics, Data Science, Engineering, or a related quantitative field.

• At least 5 years of practical experience in a data science or applied research position.

• Strong understanding of causal inference and experimental design (A/B testing, quasi-experiments, difference-in-differences, IV, etc.).

• Expertise in predictive modeling, including regression, classification, time-series analysis, and familiarity with contemporary ML frameworks.

• Statistical rigor — you can discern when a result is significant and defend that perspective.

• Proficiency in Python (pandas, scikit-learn, statsmodels) and SQL, with comfort in cloud data environments (e.g., BigQuery, Snowflake, or equivalent).

• Excellent written and verbal communication skills; you have the ability to translate a p-value into a product decision.

🏝️ Benefits

• Take ownership from day one — you will set the methodology, not just implement it.

• Tackle genuinely challenging problems at the forefront of networking and decentralized systems.

• Collaborate closely with a small, experienced, cross-functional team.

• Enjoy competitive compensation, equity, and work flexibility.

• Benefit from flexible time off.

• Work fully remotely — operate from wherever you think best. Most of the team works in ET or CET time zones, so we seek meaningful overlap during those hours.