Senior Data Scientist – VC Backed Startups

This is a fully remote position, open to applicants in United States.

📋 Description

• Become a member of SignalFire’s Talent Network to be considered for Senior and Staff Data Scientist roles at VC-backed portfolio startups.

• Leverage data, experimentation, and machine learning to tackle intricate product and business challenges.

• Collaborate with product, engineering, and business leaders to pinpoint high-impact data science opportunities.

• Design and evaluate experiments for product modifications, growth initiatives, and operational strategies.

• Create predictive, forecasting, recommendation, ranking, and optimization models.

• Utilize statistical methods and causal inference to assess impact and guide decision-making.

• Develop metrics, analytical frameworks, and dashboards to monitor product and business performance.

• Convert complex analyses into actionable recommendations for both technical and non-technical stakeholders.

• Work alongside engineers to deploy models and incorporate data science into customer-facing products.

• Detect patterns within user, customer, operational, and market data.

• Set best practices for experimentation, model evaluation, data quality, and analytical rigor.

• Mentor fellow data scientists and elevate the technical standards of the data organization.

• Contribute to shaping data strategy, tooling, and the long-term analytical roadmap.

• Submit an application for review and potential matching with SignalFire portfolio companies.

• Keep your profile active for future Senior and Staff Data Scientist positions if an immediate match is not found.

⛳️ Requirements

• Minimum of 5 years of experience in data science, applied statistics, machine learning, decision science, or a related field.

• High proficiency in Python, R, SQL, or similar analytical programming languages.

• Experience with statistical modeling, experimentation, causal inference, forecasting, or predictive analytics.

• Proven track record of utilizing data to influence product strategy, customer outcomes, or business performance.

• Capability to work with large, complex, and imperfect datasets.

• Experience collaborating with product managers, engineers, operators, and executive stakeholders.

• Excellent communication skills and the ability to clearly articulate technical findings.

• Experience in developing models or analytical systems that are used in production or operational decision-making.

• Strong judgment regarding methodology, measurement, trade-offs, and uncertainty.

• Experience in venture-backed startups or rapidly growing technology companies may be preferred.

• An advanced degree in statistics, economics, computer science, mathematics, operations research, or a related field may be preferred, but is not mandatory.

• LinkedIn URL is required for application.

• Resume/CV is required for application.

• Current or preferred working location is required for application.

🏝️ Benefits

• Opportunity to work at innovative VC-backed startups.

• Collaborate with a diverse group of professionals in a dynamic environment.

• Engage in complex problem-solving using advanced data science techniques.