Shape Mozilla's most important business decisions with rigorous, data-driven insights and influence executive strategy.
Build trusted partnerships with senior leaders and cross-functional partners to drive alignment and faster decisions.
Design sophisticated analytical solutions for large-scale problems, mentoring data scientists and raising technical standards.
Mozilla is a non-profit-backed technology company that pioneered the Firefox browser and shapes the internet for the better. With over 225 million monthly users and a mission-driven culture, Mozillians design open-source software globally.
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.
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.
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.
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 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.
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.
Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency.
Deliver buying models that maintain positive ROAS and improve lead quality across a portfolio of brands.
Establish trusted, direct partnership with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a profitable digital media company that connects consumers with leading brands through data-driven content and technology. With a remote-first team spanning over 15 countries and reaching 30M+ monthly visitors, they have a high-growth, high-performance culture focused on speed, ownership, and measurable impact.
Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance.
Build buying models that maintain positive ROAS and drive lead quality improvements across a portfolio of brands.
Establish direct partnership with vertical business stakeholders and identify net-new modeling opportunities.
Launch Potato is a digital media company that reaches over 30M monthly visitors through brands like FinanceBuzz and All About Cookies. Headquartered in South Florida with a remote-first team spanning over 15 countries, they have a high-growth, high-performance culture.
Build, evaluate, and maintain underwriting and decisioning models that determine customer approvals and terms.
Design and run experiments to evaluate model performance and measure impact on approval rates and loss.
Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure systems reflect business goals and regulatory expectations.
FloatMe is a fintech company that builds underwriting and decisioning systems to determine customer approvals and terms. It operates as a fast-moving, high-standard team focused on rigorous ML work.
Design and analyze experiments, pilots, and performance evaluations to support confident decision-making.
Build dashboards and reporting for leaders on operational performance, customer outcomes, and organizational health.
Identify trends, opportunities, and risks through multi-source data analysis and deliver actionable recommendations.
Assured provides large insurers with software solutions for modern claims processing, from self-service claim-filing to backend fraud detection. The company is a dynamic, collaborative engine powering claims for some of the largest insurers globally.
Build and ship ML models to help customers search and find answers about their financial lives.
Develop user and product embeddings, contextual bandits, and personalized ranking algorithms.
Work with a modern cloud-native data platform to deploy models to millions of customers.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions with a focus on solving problems and changing lives. With over 15 million customers and a culture of innovation, Monzo prioritizes diversity and inclusion.
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.
Lead Sprout's centralized Decision Analytics function, overseeing data science and analytics teams to drive strategic choices across the company.
Drive a shift from reactive reporting to proactive, insight-driven decision-making, partnering with senior stakeholders.
Champion AI-forward thinking and collaborate cross-functionally to build a predictive data culture.
We are a global leader in social media management and analytics software. Our hybrid team of 1,400 people across the globe is committed to customer and team success, fostering a culture of openness, empowerment, and fun.
Lead and scale a high-performing team of Analysts and Data Scientists embedded within Product domains.
Set the bar for analytical quality, experimentation rigor, and data science application across multiple product areas.
Partner with senior Product, Engineering, and Commercial leaders to shape strategy and drive measurable business impact.
Tripadvisor is the world's largest online travel site, visited by 390 million travelers each month. Its experiences business, Viator, is a fast-evolving, highly data-driven organization focused on building great products through data.
Own end-to-end credit strategy, risk modeling, and portfolio performance for embedded lending products, ensuring seamless translation of data into underwriting decisions.
Drive data integrity, source new signals, and build monitoring frameworks to optimize approval rates and loss performance across all credit products.
Lead a team of seven risk specialists, fostering analytical rigor and accountability while collaborating cross-functionally with Product, Engineering, and Capital Markets.
Pipe builds embedded capital for small businesses through credit products inside software platforms like vertical SaaS and marketplaces. It is a remote-first team with 250% ARR growth year over year, partnerships with major brands like Uber Eats, and a culture of high trust and no ego.
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.
Design, build, and improve production data models and products using SQL, dbt, Python, and BigQuery.
Turn business and customer questions into scalable solutions, owning delivery from scoping to actionable insights.
Partner with Product, Data Science, Engineering, and other teams to define requirements and manage expectations.
Lighthouse is a commercial strategy AI platform for hospitality, turning hotel data into real-time intelligence to drive revenue. With 850+ employees across 35 countries and over $100M in ARR, the company fosters a collaborative, innovative culture focused on customer success.
Develop statistical and machine learning models for credit and risk applications.
Conduct all stages of model development from data exploration to deployment.
Collaborate with cross-functional teams to translate business needs into analytical solutions.
Experian is a global data and technology company that drives opportunities for people and businesses worldwide. With 25,200 employees across 32 countries, it fosters an inclusive, purpose-driven culture recognized as a Great Place to Work.
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.