ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠΎΠΊΠ°ΠΆΠ΅Ρ Π²Π°ΡΡ ΡΠΎΠ²ΠΌΠ΅ΡΡΠΈΠΌΠΎΡΡΡ ΠΈ Π½Π°ΠΏΠΈΡΠ΅Ρ ΠΏΠΈΡΡΠΌΠΎ
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Senior Data Scientist
Company
Optimum
Conditions
6 days agoSenior Anywhere Remote Full Time Data Science Jobs by Optimum
Optimum Optimum is the world's first high-performance memory infrastructure for any blockchain. Powered by Random Linear Network Coding (RLNC), Optimum scales L1/L2 speed, robustness and throughput by orders of magnitude, enhancing dapp performance and end-user experience. Distributed Funding Seed ($11M) Seed ($11T) Angel Investors Triton Capital Robot Ventures Longhash Ventures CMT Digital NGC Ventures Projects Optimum Infrastructure About Optimum Optimum is a high-performance memory infrastructure for any blockchain, powered by Random Linear Network Coding (RLNC). It aims to solve the issues of throughput bottlenecks, slow data propagation, limited data access, and high storage costs that current blockchains face due to a lack of true decentralized memory. The Optimum network can be accessed via a simple API call. The company offers two main products: OptimumP2P and Optimum DeRAM. OptimumP2P is a pub-sub protocol that reduces latency and optimizes the delivery of transactions, blocks, and data blobs, thereby boosting network speed, scalability, and validator rewards. Optimum DeRAM is a decentralized Random Access Memory (RAM) layer that provides real-time read/write access to blockchain state, enabling latency-sensitive on-chain use cases like trading, gaming, AI, and social applications. View jobs by Optimum
Skills
A/B Testing Bayesian Statistics Bigquery Block Building Blockchain Blockchain Research Causal Inference Classification Confluence Cuped Dbt Diff-In-Diff Distributed System Ethereum Git Grafana Instrumental Variables Jupyter Latency Analysis Lightgbm Looker Machine Learning Marimo Market Structure Matplotlib Mempool Metabase Mev Notion On-Chain Data Orderflow Pandas Plotly Proposer Behavior Pymc Python R Regression Relay Scikit-Learn Seaborn Snowflake Spark Sql Statsmodels Streaming Data Time Series Analysis Transaction Propagation Validator Behavior Variance Reduction Xgboost
About the Role
You will lead empirical research into blockchain protocols, MEV, and market structure to inform Optimum's networking products and analytics strategy. Reasoning from raw on-chain data, protocol behavior, MEV, orderflow, market structure, and network-level timing signals, you will generate product insights at the intersection of networking infrastructure, decentralized systems, and empirical blockchain research, where millisecond-level differences can have meaningful economic consequences. This is a high-ownership, high-visibility role where you will shape research methodology, influence product direction, and communicate findings across Product, Research, Economics, and Engineering.
Requirements
- 5+ years of experience in quantitative research, empirical blockchain research, data science, or a similarly analytical role, ideally in crypto, market structure, distributed systems, or latency-sensitive environments
- Strong statistical background and experimental rigor, including A/B testing, causal inference, quasi-experiments, diff-in-diff, and instrumental variables
- Strong blockchain research expertise with Ethereum or another major L1/L2 ecosystem and hands-on empirical on-chain research experience
- Direct familiarity with MEV, block building, orderflow, validator/proposer dynamics, transaction propagation, and blockchain market structure
- Experience building predictive and analytical models including regression, classification, time-series analysis, and modern machine learning techniques
- Fluency in Python and SQL and experience with modern analytical data platforms such as BigQuery or Snowflake
- A product mindset with ability to frame ambiguous questions and translate research into actionable insights
- High autonomy and ownership
- Prior work in a research organization, protocol team, crypto trading firm, MEV/searcher team, or infrastructure company is a plus
- Familiarity with networking concepts, latency measurement, and distributed/decentralized systems is a plus
- Experience working in an early-stage company is a plus
Responsibilities
- Own empirical research into MEV, block building, orderflow, validator/proposer behavior, latency-sensitive execution, and related market-structure dynamics
- Work with on-chain, mempool, relay, validator, and network-level datasets, including sources such as Xatu, to identify actionable patterns and quantify opportunity areas
- Translate open-ended research questions into rigorous analysis, clear conclusions, and product-relevant recommendations
- Formulate clear hypotheses, define falsifiable tests, evaluate evidence rigorously, and translate findings into actionable decisions
- Design and evaluate experiments, measurements, and causal analyses for latency-sensitive blockchain systems
- Build analytical frameworks that distinguish signal from noise in complex, high-variance environments
- Develop predictive, statistical, and simulation-based models that answer concrete product, research, and strategy questions
- Document assumptions, limitations, methodology, and results to a high standard
- Partner closely with Product, Economics, Research, and Engineering to turn blockchain research into product direction and strategic insight
- Help define which signals matter, how they should be measured, and how they could become customer-facing product primitives
- Work with Engineering on data pipelines, evaluation tooling, and production-ready research infrastructure
- Communicate complex methodology and market-structure insights clearly to both technical and non-technical audiences
Benefits
- Flexible time off
- Fully remote work
- Equity
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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