Job Title: Data Scientist

Company Name: Jito Foundation

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/yprupx7nnqb59jrd

Job Description: Posted 18h agoData Scientist@ Jito FoundationView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:Build dashboards, Design analyses, Identify streamsRequirements Summary:3–5 years in data science or analytics; strong SQL; Python for data analysis; solid statistics; ability to turn ambiguous questions into analyses; strong communication; product data science experience.Technical Tools Mentioned:SQL, ClickHouse, BigQuery, Snowflake, Python, pandas, numpy, scipy, matplotlib, plotly
About JitoJito is an organization with the broad mandate to promote the adoption of Jito Network products, including JitoSOL, the largest DeFi protocol on Solana, and BAM, a platform for neutral block building on Solana. We are both extremely lean and relentlessly effective, and pride ourselves on having built a flat culture that prioritizes empowering multi-talented self starters to develop and pursue their own strategic vision.About the RoleWe're looking for a Data Scientist who thrives on turning messy, high-volume datasets into clear insight and who doesn't need to be pointed at the next problem. You'll work across our blockchain analytics and data infrastructure efforts - building models, running analyses, and surfacing findings that drive product and business decisions. This role is highly autonomous- you’ll independently chase leads, pursue lines of inquiry, and run with optimization opportunities, quantifying impact along the way. Jito is lean, fast, and executes at an elite level. Everyone is expected to have a material impact on the network. Crypto/blockchain domain knowledge is a plus, but what matters most is your ability to think critically, work fluently with data, operate independently, and pick up new domains fast.What You'll DoBuild dashboards, reports, and visualisations that make complex data accessible to technical and non-technical stakeholdersDesign and execute quantitative analyses on large-scale blockchain and market datasetsIdentify and scope new data streams that unlock deeper analysis across Jito's productsDevelop statistical models and heuristics to detect patterns, anomalies, and trends across Jito's existing and emerging product suiteCollaborate with engineers and researchers to define metrics, improve complex systems, and drive product improvementIdentify new analytical opportunities and propose research directions independentlyWhat We're Looking ForMust-haves3–5 years of professional experience in a data science, analytics, or quantitative research roleStrong SQL skills (ClickHouse / BigQuery / Snowflake) - you're comfortable writing complex queries across seriously large datasets and understand the tradeoffs between executing at different layers of the data stackProficient in Python for data analysis (pandas/polars, numpy, scipy, matplotlib/plotly)Solid grounding in statistics and probability - you have the judgment to know when a problem demands rigorous statistical methods and when a simpler heuristic will doDemonstrated ability to take ambiguous questions and turn them into structured analyses with actionable conclusionsExceptional written and verbal communication - you can break down a complex problem space for someone who doesn't live in the dataExperience executing product data science on 0→1 products - shaping metrics, surfacing insight, and informing direction for products still finding their feetNice-to-havesExperience with blockchain data (Solana, Ethereum, or similar) - transaction-level, on-chain analyticsPublic Dune dashboards or equivalent on-chain analysis you can point us toExposure to market microstructure, trading data, or DeFi protocol analyticsBackground in experiment design (A/B testing, causal inference)Surface and publish data-driven insights and communicate them clearly to broad, non-technical audiences1500+ chess Elo / Immortal in Dota 2 / Master+ in League / Grandmaster in SC2 / or equivalent proof you optimise things for fun