Lead analysis of large-scale datasets to uncover actionable trends and design measurement frameworks for marketing effectiveness.
Monitor digital performance metrics like Cost Per Account and ROAS, and execute A/B testing to optimize campaigns.
Build advanced dashboards in Tableau, Power BI, or Looker and translate complex findings into clear narratives for executives.
Vericast is a financial institution performance partner that uses data, technology, and people to help banks and credit unions drive growth and efficiency. With 150 years of financial services expertise, the company serves thousands of financial institutions.
Define the long-term data science strategy for ads measurement, signal quality, identity, and privacy, establishing how Reddit evaluates advertiser value.
Build trusted measurement and evaluation frameworks for lift, attribution, and privacy-aware measurement, guiding product and engineering investments.
Advance experimentation and causal inference at scale, mentor senior data scientists, and influence cross-functional strategy.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 126 million daily active unique visitors, it is one of the internet's largest sources of information.
Own measurement, attribution, and experimentation to drive data-driven marketing decisions.
Build marketing metrics, reporting, and measurement approaches for campaigns.
Partner with teams on experiment design, causal analysis, and LTV analysis for channel strategy.
Headspace provides every person access to lifelong mental health support through evidence-based content, clinical care, and innovative technology. The company serves millions of members worldwide and fosters a collaborative, inclusive culture grounded in values like making the mission matter and owning the outcome.
Lead cross-functional teams to drive revenue initiatives through data-driven recommendations.
Own and identify innovative strategies to maximize revenue and enhance client acquisition.
Improve quantitative analysis techniques and data infrastructure to uncover revenue opportunities.
Extend provides AI-driven solutions for retailers to enhance post-purchase experience, including automated customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners across various industries and is backed by prominent technology investors.
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.
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.
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 analytics across the entire participant lifecycle, from acquisition to retention.
Build metrics, dashboards, and experimentation frameworks using SQL and Python.
Partner with Product, Operations, Growth, and Data Science to drive decisions.
We build the human data infrastructure for AI, connecting researchers with a global participant pool. We operate with a mission-driven culture focused on innovation and ethical data collection.
Own experimentation end-to-end, including A/B test design, execution, and statistical significance frameworks.
Drive causal inference analyses to understand product and customer outcomes beyond correlation.
Serve as the analytics escalation point for deep statistical rigor across the organization.
Bluefish is building an AI marketing platform that helps brands engage consumers on AI channels. The company is a globally distributed Series B startup with a team of mar-tech industry veterans and a focus on craftsmanship and collaboration.
Design and analyze incrementality tests to quantify lift on pricing and availability.
Evaluate channel performance across regions to inform future strategy.
Analyze audience, lever, and segment performance to drive meaningful impact.
The company operates a platform for high-profile, globally recognized experiences. The culture is detail-oriented and high-stakes, with a focus on flawless execution.
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.
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.
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.
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.
Design and deploy robust data layer specifications across digital properties.
Leverage quantitative and qualitative data to construct information dashboards.
Drive data-informed decisions by managing digital analytics and user feedback mechanisms.
Agile Six is a people-first, remote-work company that partners with federal agencies to deliver human-centered solutions. They are a small, growing government contractor with a culture of self-management, trust, and inclusion.
Lead marketing analytics processes including reporting frameworks, dashboards, and data quality standards.
Monitor key business and marketing performance metrics, identify growth opportunities, and conduct root cause analysis.
Design, prioritize, and evaluate marketing experiments and A/B tests to optimize acquisition and retention.
Social Discovery Group (SDG) develops social entertainment platforms to connect people online across cultures, addressing loneliness and isolation. The company is a remote-first organization with a global team of digital nomads and has been recognized as a Great Place to Work.
Define and validate the metrics that product teams use to measure success
Build metric frameworks connecting product performance to business outcomes like revenue and conversion
Analyze user behavior and product funnels to identify opportunities and guide product strategy
Constructor is a next-generation platform for search and discovery in ecommerce, built to optimize for revenue, conversion, and profit. Founded in 2019 and based in the U.S., the company values empathy, openness, curiosity, and continuous improvement, powering over 1 billion queries daily.
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.
Build and own attribution and marketing mix models using state-of-the-art machine learning algorithms.
Design experiments and interpret results to draw detailed and actionable conclusions.
Work cross-functionally with product, engineering, and business teams.
Moniepoint is an all-in-one digital financial services platform for businesses in emerging markets. Since 2019, it has powered over a million businesses, is Africa's second-fastest growing fintech, profitable, and recognized as the most inclusive payment platform in Nigeria.
Build predictive models using statistical and machine learning techniques to identify member behaviors and opportunities.
Design and lead controlled experiments and A/B tests to evaluate strategies and ensure statistical rigor.
Translate complex data into clear insights through visualizations, dashboards, and presentations for cross-functional teams.
BECU is a member-owned credit union with 1.5 million members and over $30 billion in managed assets, rooted in a 'people helping people' philosophy since 1935. With over 90 years of history and a focus on purpose-driven work, they employ a large team and prioritize community, collaboration, and growth.