Senior Data Scientist

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🔥 12 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Optimum

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🔌 API

☁️ SaaS

Blockchain • API • SaaS

Optimum is the world's first high-performance memory infrastructure designed specifically for blockchain technology. By leveraging Random Linear Network Coding (RLNC), Optimum significantly enhances blockchain scalability, speed, and efficiency, addressing common challenges such as data fragmentation and high storage costs. The platform allows users to integrate decentralized memory into any blockchain through an API, promoting a more robust and scaled architecture for decentralized applications (dApps).

📋 Description

• Own end-to-end methodology for causal inference, identification strategies, and predictive modeling. • Design, run, and evaluate experiments — from hypothesis formulation through power analysis to result interpretation. • Work on product initiatives where data signals are the core deliverable, not just a supporting artifact. • Partner closely with Product, Economics, and Research as primary stakeholders to translate business questions into rigorous analytical frameworks. • Work with Engineering on implementation of models and evaluation pipelines, ensuring analytical work is production-ready. • Produce actionable insights and present complex methodology to both technical and non-technical audiences clearly and concisely. • Document approaches, assumptions, methodologies, and results to a high standard — building institutional knowledge that scales with the team.

🎯 Requirements

• Postgraduate degree in Statistics, Mathematics, Computer Science, Economics, Data Science, Engineering or a related quantitative discipline. • Minimum of 5 years of hands-on experience in a data science or applied research role. • Strong foundations in causal inference and experimental design (A/B testing, quasi-experiments, diff-in-diff, IV, etc.). • Proficiency in predictive modeling: regression, classification, time-series, and familiarity with modern ML frameworks. • Statistical rigor — you know when a result is meaningful and when it isn’t, and you can defend that position. • Fluency in Python (pandas, scikit-learn, statsmodels) and SQL; comfort working in cloud data environments (e.g. BigQuery, Snowflake, or equivalent). • Strong written and verbal communication; you can turn a p-value into a product decision.

🏖️ Benefits

• Ownership from day one — you will define methodology, not just apply it. • Work on genuinely hard problems at the edge of networking and decentralized systems. • Close collaboration with a small, senior, cross-functional team. • Competitive compensation, equity, and flexibility. • Flexible time off. • Fully remote — work from wherever you do your best thinking. Most of the team operates on ET or CET, so we look for meaningful overlap with those windows.