Data Scientist

Salary: Not specified Location Type: On-site Employment Type: Not specified

About Envoy

Envoy builds workspace management technology that makes it simple to run secure, compliant, and connected workplaces across every location. Over 16,000 workplaces and properties around the world rely on Envoy to create great experiences for employees and visitors while meeting safety, security, and compliance needs at scale. From corporate headquarters and labs to manufacturing sites, Envoy powers the places where people work best together.

Learn more at envoy.com.

About the Role

We are a data-driven organization that values analytical rigor, innovation, and collaborative impact. Our team maintains high standards across our modern data stack, engineering practices, and analytical frameworks while fostering a culture of continuous learning and diverse perspectives.

We're seeking an experienced data professional to accelerate our analytics capabilities and drive strategic decision-making across the organization. You'll collaborate with product, marketing, sales, and engineering teams to deliver actionable insights, build predictive models, and influence key business decisions through data storytelling and evidence-based recommendations.

Our data platform is built on a modern stack including AWS Redshift, Apache Spark, AWS Glue, dbt, and Airflow for orchestration. We leverage Looker and Databricks for analytics and exploration. We're actively exploring real-time analytics solutions, MLOps tooling like SageMaker, MLflow, and Feature Stores, as well as incorporating generative AI use cases using LangChain, LLM APIs, and vector databases.

This is an on-site position that requires 4 days a week (Monday-Thursday) in our San Francisco HQ.

Responsibilities

Strategic Analysis & Insights

• Partner with cross-functional teams to design and execute high-impact analytics projects that drive product strategy and business growth.
• Develop sophisticated analyses using modern statistical methods, machine learning, and causal inference techniques.
• Conduct deep-dive investigations into user behavior, product performance, and market trends.

Advanced Analytics & Modeling

• Build and deploy predictive models, recommendation systems, and forecasting solutions.
• Design and implement robust A/B testing frameworks and analyze experimental results.
• Create automated reporting dashboards and real-time monitoring systems.

Data Leadership & Strategy

• Influence product roadmap and business strategy through compelling data narratives and executive presentations.
• Establish analytics best practices and data governance standards.
• Mentor junior analysts and contribute to team knowledge sharing.

Innovation & Research

• Explore emerging analytics techniques, including generative AI applications for data analysis.
• Evaluate and implement new tools and technologies to enhance analytical capabilities.
• Contribute to our data science research initiatives and thought leadership.

Qualifications

Technical Excellence

• You have exceptionally high standards for data quality and analytical rigor, understanding that trust in data is fundamental to business impact.
• You're pragmatic about balancing perfection with delivery timelines, always striving for excellence while maintaining velocity.
• You think systematically about data architecture, measurement frameworks, and end-to-end analytical processes.

Business Acumen

• You're an owner who takes personal accountability for outcomes and proactively identifies opportunities for improvement.
• You thrive in fast-paced environments where your work directly impacts product decisions and business results.
• You have strong product intuition and can translate complex analytical findings into actionable business recommendations.

Growth Mindset

• You're passionate about continuous learning, staying current with emerging tools, methodologies, and industry best practices.
• You're intellectually curious and eager to explore new analytical approaches and technologies.
• You value feedback and actively seek opportunities.