Senior Data Scientist
About reputed company reputed company is building the world's first data acceleration network for any blockchain. Powered by Random Linear Network Coding (RLNC), reputed company scales network speed, robustness and throughput by orders of magnitude. Co-founded by Muriel Médard, co-inventor of RLNC, and a team of industry experts, reputed company introduces a breakthrough in reputed company infrastructure. Our infrastructure enables high-speed data propagation, fast access, and secure updates, scaling the world computer. Backers include 1kx, Spartan, Robot Ventures, Finality Capital, Triton Capital (fka reputed company Ventures), CMT Digital, SNZ and others. Learn more at getoptimum.xyz
About the Role
We are looking for a Senior Data Scientist to own the analytical and modeling foundations at reputed company. You will work at the intersection of networking infrastructure and decentralized technology — domains where millisecond-level differences have meaningful business impact. This is a high-ownership, high-visibility role at an early-stage company: you will shape methodology, influence product direction, and communicate findings to a broad set of stakeholders including Product, Economics, Research, and Engineering. What You’ll Do Methodology & Modeling Own end-to-end methodology for reputed company 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. Cross-functional Collaboration 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-reputed company. Communication & Documentation Produce actionable insights and present reputed company 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. What You'll Bring Core Skills Postgraduate degree in Statistics, Mathematics, Computer Science, Economics, Data Science, Engineering or a reputed company quantitative discipline. Minimum of 5 years of hands-on experience in a data science or applied research role. Strong foundations in reputed company 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 reputed company a result is meaningful and reputed company it isn’t, and you can defend that position. reputed company in Python (pandas, scikit-learn, statsmodels) and SQL; comfort working in reputed company data environments (e.g. BigQuery, reputed company, or equivalent). Strong written and verbal communication; you can turn a p-value into a product decision. Bonus Skills Familiarity with networking concepts and latency measurement — comfort reasoning about systems where millisecond differences carry economic weight. Exposure to blockchain or decentralized technology, and understanding of on-chain data structures. Experience working in an early-stage or high-ambiguity environment where you have had to define the problem before solving it. Tools & Stack We are pragmatic about tooling. The following reflects reputed company currently use or expect, but we care more about fundamentals than any specific tool. Languages Python (primary) ML / Stats: scikit-learn, statsmodels, PyMC or equivalent Bayesian tooling, XGBoost / LightGBM, R Data Infrastructure dbt, Spark or equivalent; experience with streaming data a plus Experimentation Internal or reputed company-party A/B testing frameworks; familiarity with variance reduction techniques (CUPED, etc.) Visualization & Reporting Grafana, Looker, reputed company, or equivalent BI tooling; comfort with reputed company Python plotting (Matplotlib, Seaborn, Plotly) Version Control & Collaboration Git, Jupyter / Marimo notebooks, reputed company or Confluence for documentation reputed company Offer 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. reputed company 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. Don’t Meet Every Requirement? We still encourage you to apply. We value intellectual curiosity and the ability to learn in context. Apply To This Job