Define the end-to-end experimentation methodology to guide product decisions across the company.
Build rigorous statistical methods for small-sample, multi-product environments with causal inference.
Partner with cross-functional teams to scale experimentation culture and coach PMs and analysts.
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs, and SMBs the infrastructure to build, automate, and scale. With over 2,000 team members across 10+ countries, it operates as a global, remote-first organization built for speed and ownership.
Own well-scoped, impactful problem spaces across product and business domains, from framing questions to implementing solutions.
Design and evaluate experiments to measure the impact of product and strategic changes.
Analyze data from across the product to uncover root causes of metric movements and partner with cross-functional stakeholders.
Quora operates two platforms: a global knowledge sharing platform with over 300M monthly unique visitors, and Poe, a platform for chatting with AI language models. The company has a culture rooted in transparency, idea-sharing, and experimentation, with passionate, collaborative, and high-performing global teams.
Proactively find where DS can create leverage across marketing, product, finance, and operations.
Lead ambiguous, high-stakes investigations end-to-end to a clear recommendation.
Reason rigorously under uncertainty and pair with AI on technical lifting.
Courtyard.io is the fastest-growing collectibles startup, enabling instant liquidity and an immersive trading experience. We are a remote-first company pushing boundaries in digital ownership, with vaulted and insured assets.
Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers.
Bridge the gap between HR and development, transforming raw workforce data into strategic products.
Ensure data stewardship, privacy compliance, and develop AI agents for real-time insights.
Canonical is a pioneering tech firm at the forefront of the global move to open source, providing Ubuntu widely used in enterprise initiatives like public cloud, data science, AI, engineering innovation, and IoT. We are founder-led, profitable, and growing, with a worldwide distributed collaboration since 2004, and we have no central headquarters.
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.
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.
Own the Experimentation pillar, leading the product team and being accountable for strategy, roadmap, and commercial outcomes.
Win the high-maturity buyer by earning the technical confidence of senior data scientists and data-focused PMs.
Operate a high-performing function with disciplined roadmap delivery and AI-assisted engineering productivity.
LaunchDarkly provides a feature management and experimentation platform that helps developers release software faster and safer. The company values humility, openness, collaboration, and respect, and is an equal opportunity employer.
Shape Mozilla's most important business decisions with rigorous, data-driven insights.
Build trusted relationships with senior leaders and cross-functional partners to drive alignment.
Design and deliver sophisticated analytical solutions for complex, high-dimensional data problems.
Mozilla Corporation is a non-profit-backed technology company that has shaped the internet for over 25 years, building pioneering brands like Firefox. With more than 225 million monthly users worldwide, they are a mission-driven organization focused on open-source software, privacy, and security.
Own data quality and methodology end-to-end for private investor insights, driving accuracy and coverage.
Build and scale the data function from 1 to 10, hiring and mentoring a high-caliber team.
Design and maintain a world-class QA system and lead pipeline business logic design.
We are the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points to uncover actionable insights. With a global presence and a culture recognized as a Best Workplace for three consecutive years, we emphasize transparency, ownership, and continuous mastery.
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.
Lead and develop a team of data scientists to deliver proof-of-concept projects for enterprise customers.
Build and review ML models, conduct fraud analyses, and ship production-grade solutions alongside your team.
Partner cross-functionally with Engineering, Product, and GTM to scope work and influence the roadmap.
Sardine is the leading agentic risk platform for fighting financial crime. With over 6 billion profiled devices and a remote-first culture, we hire self-motivated individuals who value performance over hours.
Own analytical strategy for the end-to-end marketing funnel, including activation and retention, partnering with Marketing, Product, and Clinical Operations.
Lead experimentation and causal inference programs, design attribution frameworks, and manage member lifecycle models using dbt, SQL, and Python.
Serve as executive-facing owner of funnel performance narrative, coaching a small team while staying heavily hands-on.
Foodsmart is the leading Foodcare platform in the U.S., combining personalized nutrition care, behavior change tools, and food benefits to improve health outcomes and lower costs. With over 3 million members and backed by a $200 million investment from TPG's Rise Fund, they foster a flat, fast-moving, AI-native culture guided by values like Customer First and One Team.
Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform.
Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.
Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be.
Jerry.ai is building the first app to manage car and home ownership, starting with car insurance and expanding into adjacent verticals. The company has 5M+ customers, raised $240M+, and became profitable in early 2024, with a culture of impact and no corporate fluff.
Lead marketing science and analytics workstreams across client engagements, new business, and internal initiatives.
Apply statistical and data science methods including media mix modeling, regression, causal inference, and experimentation.
Use Python and SQL to analyze data and build reproducible analytical workflows, and translate complex analyses into actionable insights.
Crossmedia is a global media independent focused on creating innovative connections between brands and people. With 500+ employees worldwide, it has been a top-ranked media agency on Ad Age's Best Places to Work for seven years.
Own the full data science engine for a priority vertical, from business problem to deployed model, driving measurable revenue and media efficiency.
Deliver buying models that maintain positive ROAS and improve lead quality across our portfolio of brands.
Establish trusted partnerships with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
Use scientific research methods, statistics, machine learning, causal inference, and AI to study business and deploy analytical solutions.
Develop close stakeholder relationships, solve business problems, and educate stakeholders on analytics, AI/ML processes.
Mine data systems, clean and structure data, develop pipelines, and partner with Data Engineering to put models into production.
Gilbane is a Top-10 ENR Contractor, a family-owned construction management firm with 45 offices, shaping communities since 1870. They are committed to delivering projects safely and on-time, and foster a diverse, inclusive workplace.
Improve decisioning systems that affect pricing, offer behavior, workflow routing, and other economically meaningful product outcomes.
Design and run experiments that help understand whether product, rules, prompt, or model changes are actually improving performance.
Build models, heuristics, optimization logic, or evaluation frameworks that improve real-world outcomes under operational constraints.
Pivotal Health is a technology platform that helps healthcare providers get paid fairly in the complex reimbursement landscape. The company is a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers.
Translate business needs into advanced analytics solutions.
Design and develop predictive models using Machine Learning techniques.
Lead task prioritization for the data team.
Redbee, a technology company with over 14 years of experience, specializes in redefining digital products for the financial industry. They co-create innovative solutions with clients, focusing on quality and scalability, and have a culture of fast value delivery and agility.
Own the entire data stack end to end, ensuring pipelines, dbt models, and dashboards are reliable and scalable.
Define and govern core company metrics, turning ambiguous business goals into precise, trusted definitions.
Lead and grow a high-performing data team, partnering with engineering and business leaders to drive data-driven decisions.
AIOS is building the world's first full-stack AI doctor, serving 150k patients per month via Bolt Pharmacy. At $350M ARR and growing rapidly, we are a profitable, founder-led company with a young, ambitious culture.
Own the end-to-end data science engine for a priority vertical, driving measurable revenue and media efficiency.
Focus on Insurance and Advertiser Quality, with scope broadening over time.
Deliver buying models that maintain positive ROAS and drive lead quality improvements across the portfolio.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through its brands. They are a profitable, bootstrapped company with a remote-first team across 18 countries.