Partner with product and business teams to drive rigorous analysis, from root cause to funnel drop-off, and turn data into prioritized recommendations.
Define and maintain metric definitions, set up tracking, and build automated reporting with alerting for KPI changes.
Design and interpret experiments, model data in dbt and BigQuery, and create AI-assisted analytics skills to scale impact.
We are building the operating system for value movement, enabling crypto, stablecoins, and tokenized assets. With 30M+ customers and 500+ ecosystem partners, we maintain a high-standards, high-velocity culture and are regulated across multiple regions.
Partner closely with Product, Marketing, Engineering, and Leadership to measure success, identify growth opportunities, and drive data-informed decisions.
Develop scalable data models, analytical frameworks, and translate complex data into clear, actionable recommendations for product strategy.
Own analyses evaluating product performance and customer behavior using cohort/retention and funnel analytics.
Felix is a healthcare company focused on providing accessible medical services. They are a remote-first organization with a small to medium-sized team, emphasizing inclusive culture and professional development.
Act as a strategic analytics partner for teams across the business, transforming complex questions into actionable insights.
Build reliable datasets, dashboards, and analytics foundations to enable faster and smarter decision-making.
Improve how teams use AI-powered data tools by ensuring accuracy, trustworthiness, and meaningful insights.
Our partner is a fast-growing technology company backed by leading investors. They have a remote-first culture with a collaborative environment focused on ownership and transparency.
Derive insights and support strategy by leveraging data analytics to optimize product, risk, or growth strategies.
Monitor portfolio health by tracking performance metrics, user behavior, and macroeconomic trends.
Write clean SQL and Python to build scalable reporting and partner with Engineering on machine learning and risk models.
Affirm is a fintech company reinventing credit by offering buy now, pay later solutions with no hidden fees or compounding interest. With a focus on honest and friendly consumer finance, Affirm is a large, remote-first company that values diversity and employee wellbeing.
Partner with cross-functional teams to drive data-driven decisions across product, operations, and business.
Design and analyze experiments, develop predictive models, and build dashboards and reports.
Use advanced SQL, Python, and statistical techniques to extract insights from large datasets.
ecoATM is a technology company and pioneer of device re-commerce, operating automated kiosks and online marketplace Gazelle.com to enable mobile device re-use. They value their employees and foster a culture of growth, impact, and collaboration.
Use data, experimentation, and machine learning to solve complex product and business problems at high-growth startups.
Partner with product, engineering, and business leaders to identify high-impact opportunities for data science.
Develop predictive models, design experiments, and translate analyses into clear recommendations for stakeholders.
SignalFire is a venture capital firm that partners with top early-stage startups shaping the future of technology. With a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS, they are looking to connect with exceptional data scientists who are excited about using data, experimentation, and machine learning to solve complex problems.
Partner with product managers and engineers to measure results and deliver insights across the product lifecycle.
Identify key metrics and track progress on high-priority initiatives including new AI product launches.
Develop analytics frameworks for A/B tests and present findings to stakeholders.
We build innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. We are a fast-growing, remote-first startup passionate about technology, collaboration, and continuous learning.
Apply statistical, machine learning, and data mining techniques to large health data sets to build new products and methodologies.
Collaborate with Product Managers, Analysts, and Engineers to deliver and iterate on data-driven product solutions.
Explore high-volume data to identify signals, patterns, and relationships to infer insights from imperfect data.
Veeva Systems is a mission-driven pioneer in industry cloud, helping life sciences companies accelerate therapy delivery to patients. As one of the fastest-growing SaaS companies, it surpassed $3B in revenue with a culture valuing Do the Right Thing, Customer Success, Employee Success, and Speed.
Partner with business leaders to identify opportunities and develop analytical strategies.
Create predictive models and scalable machine learning solutions to optimize customer acquisition and retention.
Translate complex data findings into clear business recommendations and drive experimentation.
This company leverages advanced data science and machine learning to solve complex business challenges. It fosters a collaborative and inclusive culture focused on innovation, growth, and teamwork.
Lead statistical and machine learning solutions for high-impact business decisions.
Own complex problems end-to-end, from framing to production deployment.
Partner with product, engineering, and business leaders to shape strategy.
Super.com is a fast-paced, high-growth tech company that helps maximize lives for both customers and employees. They prioritize learning, impact, and career progression for their team.
Develop predictive forecasting models and pipeline analytics to improve revenue forecasting and operational visibility.
Partner with Revenue Operations, Finance, and Data Engineering teams to enhance data-driven decision making and AI readiness.
Build scalable dashboards, models, and analytical frameworks to support sales productivity, customer insights, and churn analysis.
We are a global leader in Network as a Service (NaaS), transforming how businesses connect to cloud, data centers, and each other. With over 600 employees across Asia-Pacific, Europe, and the Americas, we foster a collaborative, supportive, and fun culture.
Lead the client-facing data science function, owning the automation of Quarterly Business Reviews and client reporting processes.
Develop scalable analytics infrastructure using modern data practices and AI-powered workflows.
Partner with Sales, Customer Success, and engineering teams to ensure data-driven client insights.
This company is a health tech organization focused on improving access to nutrition and wellness through data-driven insights. They foster a remote-first, collaborative culture with a focus on innovation and ownership.
Turn complex product, customer, and risk data into clear insights and decision frameworks.
Use AI tools and agent workflows to improve speed and quality of analytical work.
Define and maintain measurement frameworks for credit products including customer eligibility and repayment behavior.
Block builds technology to increase access to the global economy through brands like Square, Cash App, and Afterpay. Cash App has thousands of employees globally, with a culture geared toward innovation, collaboration, and impact.
Define and own the vision, strategy, and roadmap for data products that support data-driven insights and decision-making.
Act as the bridge between technical teams and business stakeholders to translate business needs into data solutions.
Ensure proper data governance, privacy, and compliance practices while monitoring data quality and user adoption.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. With a remote-first culture and a strong commitment to global inclusion, Twilio fosters a vibrant team where diverse experiences make a global impact each day.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Work hands-on with CEO and Product Strategy stakeholders to build analysis and reporting using statistical methods.
Use conjoint analysis and multivariate regression to identify product attributes that drive SKU productivity.
Present findings to executive audiences and maintain recurring analytics for accurate portfolio snapshots.
Schumacher & Co. is an innovative interior design company disrupting the $150 billion global interior design industry. With over 500 employees, they are driven by a shared belief that design transforms life and empower employees to live core values.
Design and build scalable data models and pipelines using Snowflake and dbt.
Collaborate with cross-functional stakeholders to translate business needs into data solutions.
Establish best practices for data modeling, metrics, and documentation to enable self-service analytics.
The company is a remote-first SaaS provider building scalable solutions for enterprise customers. It fosters a culture of ownership, collaboration, and continuous innovation.
Build bleeding-edge agentic analytics to bring order and clarity to real world data.
Define AI impact measurement and own the end-to-end analytics story around adoption, growth, and impact.
Design and run experiments, including A/B tests and causal inference studies, that directly map to product and go-to-market decisions.
We are the leading security-first enterprise AI company, building cutting-edge foundation AI models and end-to-end products for real-world business problems. We are a global team of researchers, engineers, designers, and more, passionate about our craft, with offices in Toronto, San Francisco, London, New York City, Montreal, Seoul, Germany, and Paris.
Collaborate with cross-functional teams to enhance the Lyra platform and serve provider and client needs.
Become an expert in diverse data sources, building pipelines and applying clinical logic to raw data.
Extract actionable insights, develop predictive and generative models, and support product iterations with rigorous evaluation frameworks.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company has delivered more than 15 million sessions of mental health care and published over 35 peer-reviewed studies, with a culture focused on innovation and clinical effectiveness.
Design, develop, and continuously improve reporting and dashboard solutions that meet cross-functional business needs.
Translate technical outputs into clear visualizations, summaries, and actionable insights for business stakeholders.
Write advanced SQL to build, validate, and maintain scalable data models with reusable business logic, and troubleshoot data quality issues.
GitLab provides an intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, and reduce security and compliance risk. With over 50 million registered users and more than 50% of the Fortune 100 trusting the platform, GitLab fosters a high-performance culture driven by values, continuous knowledge exchange, and AI integration.