Jito 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.
We’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.
Build dashboards, reports, and visualisations that make complex data accessible to technical and non-technical stakeholders
Design and execute quantitative analyses on large-scale blockchain and market datasets
Identify and scope new data streams that unlock deeper analysis across Jito’s products
Develop statistical models and heuristics to detect patterns, anomalies, and trends across Jito’s existing and emerging product suite
Collaborate with engineers and researchers to define metrics, improve complex systems, and drive product improvement
Identify new analytical opportunities and propose research directions independently
Must-haves
3–5 years of professional experience in a data science, analytics, or quantitative research role
Strong 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 stack
Proficient 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 do
Demonstrated ability to take ambiguous questions and turn them into structured analyses with actionable conclusions
Exceptional written and verbal communication – you can break down a complex problem space for someone who doesn’t live in the data
Experience executing product data science on 0→1 products – shaping metrics, surfacing insight, and informing direction for products still finding their feet
Nice-to-haves
Experience with blockchain data (Solana, Ethereum, or similar) – transaction-level, on-chain analytics
Public Dune dashboards or equivalent on-chain analysis you can point us to
Exposure to market microstructure, trading data, or DeFi protocol analytics
Background in experiment design (A/B testing, causal inference)
Surface and publish data-driven insights and communicate them clearly to broad, non-technical audiences
1500+ chess Elo / Immortal in Dota 2 / Master+ in League / Grandmaster in SC2 / or equivalent proof you optimise things for fun
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