Senior Data Scientist – VC Backed Startups

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SignalFire

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2012

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

SignalFire is a venture capital firm built on technology and data, dedicated to supporting growth for early-stage companies through advanced AI tools and seasoned sector expertise. They focus on providing unparalleled support to their portfolio companies, combining in-house AI capabilities with tailored advisory programs across multiple sectors such as healthcare, fintech, cybersecurity, and more.

📋 Description

• Join SignalFire’s Talent Network to be considered for Senior and Staff Data Scientist opportunities at VC-backed portfolio startups • Use data, experimentation, and machine learning to solve complex product and business problems • Partner with product, engineering, and business leaders to identify high-impact data science opportunities • Design and analyze experiments for product changes, growth initiatives, and operational strategies • Develop predictive, forecasting, recommendation, ranking, and optimization models • Apply statistical methods and causal inference to measure impact and inform decisions • Build metrics, analytical frameworks, and dashboards for product and business performance • Translate complex analyses into recommendations for technical and non-technical stakeholders • Collaborate with engineers to productionize models and integrate data science into customer-facing products • Identify patterns in user, customer, operational, and market data • Establish best practices for experimentation, model evaluation, data quality, and analytical rigor • Mentor other data scientists and raise the technical standard of the data organization • Help shape data strategy, tooling, and the long-term analytical roadmap • Submit an application for review and potential matching with SignalFire portfolio companies • Maintain profile consideration for future Senior and Staff Data Scientist roles if no immediate match is found

🎯 Requirements

• 5+ years of experience in data science, applied statistics, machine learning, decision science, or a related field • Strong proficiency in Python, R, SQL, or similar analytical languages • Experience with statistical modeling, experimentation, causal inference, forecasting, or predictive analytics • Track record of using data to influence product strategy, customer outcomes, or business performance • Ability to work with large, complex, and imperfect datasets • Experience partnering with product managers, engineers, operators, and executive stakeholders • Strong communication skills and ability to explain technical findings clearly • Experience developing models or analytical systems used in production or operational decision-making • Strong judgment around methodology, measurement, tradeoffs, and uncertainty • Experience in venture-backed startups or rapidly scaling technology companies may be preferred • Advanced degree in statistics, economics, computer science, mathematics, operations research, or a related field may be preferred, but is not always required • LinkedIn URL required for application • Resume/CV required for application • Current or preferred working location required for application