
11 - 50 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
<Raw Ventures> Raw Ventures is a venture studio and investment firm that backs and builds startups across MediaTech, HealthTech, biotech, and sustainability sectors using evergreen capital, hands-on advisory, and talent development. It operates an ecosystem combining investment (Evergreen), AI-powered advisory (Raw Advisory), and creative/talent support (Raw Creative) to help technologies move from proven concepts to practical impact, and it focuses on innovative content, healthcare and biotech ventures. The firm emphasizes building interconnected companies rather than isolated startups and publishes news about its portfolio and activity.
🕒 July 30
🗣️🇷🇺 Russian Required
Where this job comes from
Posted on Raw Ventures's careers page, not through a job board
First seen by Remote Rocketship July 30
Still open on Raw Ventures's site. Checked 3 hours ago.
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11 - 50 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
<Raw Ventures> Raw Ventures is a venture studio and investment firm that backs and builds startups across MediaTech, HealthTech, biotech, and sustainability sectors using evergreen capital, hands-on advisory, and talent development. It operates an ecosystem combining investment (Evergreen), AI-powered advisory (Raw Advisory), and creative/talent support (Raw Creative) to help technologies move from proven concepts to practical impact, and it focuses on innovative content, healthcare and biotech ventures. The firm emphasizes building interconnected companies rather than isolated startups and publishes news about its portfolio and activity.
• A senior individual contributor owning the data science work end to end: deciding what to measure, getting the data, building the models, defending the conclusions. • Work directly with traders, deal economists, finance and treasury. • P&L reconstruction and margin attribution across the deal lifecycle. • Anomaly and fraud detection on financial data. • The reporting layer for finance and risk — margin, cost per tonne, exposure, receivables, cash position.
• 7+ years in data science, with senior ownership of your own workstreams • Oil & gas industry experience — at least two years of delivered projects in trading, refining, logistics, storage or distribution. • Strong Python and SQL, and readiness to work in raw data yourself: unfamiliar schemas, undocumented tables, exports never meant for analysis • Experience taking models into production and operating them; close to essential for us • Professional proficiency in Russian
• Ownership of the data science work, and room to shape how it is done • Direct access to founders and decision-makers; short feedback loops • Generous AI tooling budget — frontier models are a working expense, not a perk • Competitive compensation, discussed individually
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