Senior Data Scientist – VC Backed Startups

SignalFire

Senior/Staff Data Scientist joining SignalFire’s talent network for VC-backed startups. Applying experimentation, statistical modeling, and machine learning to product and business problems.

Posted 8/5/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science, machine learning, and statistical modeling to drive product and business decisions. Proficient in developing predictive models and analytical frameworks while effectively communicating insights to diverse stakeholders.

Highest-signal resume keywords

Data ScienceMachine LearningStatistical ModelingPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ScienceMachine LearningStatistical ModelingCausal InferencePredictive AnalyticsExperimentationForecastingAnalytical FrameworksData AnalysisModel Development

Soft Skills

Strong Communication SkillsMentoringCollaboration

Industry Keywords

Venture-Backed StartupsRapidly Scaling Technology CompaniesData StrategyAnalytical RoadmapProduct Strategy

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account SignalFire Website LinkedIn All Job Openings 11 - 50 employees Founded 2012 🏥 Healthcare 💼 Consulting 📦 Logistics Healthcare
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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. Senior Data Scientist – VC Backed Startups Job not on LinkedIn 🔥 31 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 📊 Data Scientist Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 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
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