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.
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 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 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.
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.
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.
Define clear business-value metrics alongside technical performance targets for engagements.
Lead technical scoping, feasibility assessments, and solution design for proposals and client pitches.
Design scalable, end-to-end ML pipelines spanning data analysis, model training, deployment, and MLOps.
Lovelytics helps complex enterprises modernize their data and put AI to work in production. It has grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture.
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.
Architect data models and intelligence layer to enable AI agents for nonprofit automation.
Design, build, and deploy machine learning models in production using cloud platforms.
Translate complex data outputs into actionable insights for customers and internal teams.
Neon One creates intuitive nonprofit software to help small and mid-sized nonprofits connect with people and build trust. We are powered by empathy, innovation, and a shared mission to empower organizations making a difference.
Own productization of Alt's pricing and underwriting models from research through production, keeping them accurate and fast at scale.
Optimize pricing models to reduce infrastructure costs while improving accuracy, especially for high-value assets.
Lead the full ML lifecycle from model training and feature generation to production deployment and monitoring.
Alt unlocks the value of alternative assets, starting with the $5B trading-card market, offering a platform for collectors to buy, sell, vault, and finance their cards. Backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes, the company is at an inflection point with its pricing intelligence infrastructure as a competitive moat.
Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models and LLM reasoning.
Build predictive and prescriptive models for churn risk, growth, adoption, and account health scoring.
Partner with Product, Engineering, and Applied AI teams from problem framing through production deployment.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter, now uniting human teams with AI agents. With over 20 years of experience, they foster a culture of innovation and collaboration.
Partner with product, data science, and engineering teams to design, develop, and deploy machine learning and optimization solutions for ads delivery.
Train, deploy, and scale ML models as microservices, working with infrastructure engineers to integrate model outputs into ads systems.
Establish unified logging, alerting, and monitoring for model inference, system latency, data drift, and concept drift.
Life360's mission is to keep people close to the ones they love through a mobile app, Tile tracking devices, and Pet GPS tracker. The company serves approximately 97.8 million monthly active users across 180+ countries and has a remote-first culture with over 500 employees.
Partner with Marketing, Sales, and CX leaders to diagnose challenges and drive growth strategies.
Develop ML solutions like targeting, segmentation, and LTV prediction to optimize acquisition and retention.
Mentor junior data scientists and drive best practices in experimentation and analytics.
Mercury Insurance helps people reduce risk and overcome unexpected events, serving customers for over 60 years. It is a mid-size company that values diverse perspectives and offers a supportive culture with growth opportunities.
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 deliver applied AI solutions including LLM workflows, RAG systems, and agentic automation integrated into client systems.
Work directly with clients through discovery, solution design, demos, and delivery, translating business problems into production AI.
Contribute to Caravel's reusable AI accelerators and go-to-market offerings while defining evaluation criteria and measuring ROI.
Caravel is an award-winning NetSuite and Salesforce partner that helps businesses put technology to work honestly and without consulting theater. The firm is a fully remote team with delivery centers across the US, Canada, India, and the Philippines, part of a Top-40 accounting firm, and has a culture focused on honest, useful solutions over hype.
Lead research and development of health trajectory models predicting member states and risks using real-world longitudinal data.
Design next-best-action algorithms that convert predicted trajectories into intervention decisions tailored to member context.
Serve as senior scientific lead for algorithmic rigor, mentoring scientists and collaborating with product and engineering teams.
Omada Health is a virtual-first healthcare company that combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care for chronic conditions like obesity and diabetes. They have served over two million members across 2,000+ employers and health plans, and have been certified as a Great Place to Work.
Partner with Solution Architects, Sales Strategy, and Ecosystem teams to translate pre-sales questions into clear analytical requirements.
Design and build AI and analytic solutions that provide actionable insights for trial management, win rates, adoption, and conversion.
Use segmentation, cohort analysis, and experimentation to inform scaled engagement strategies and advocate for data quality.
GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity and accelerate digital transformation. It is trusted by over 50 million registered users and more than 50% of the Fortune 100, and fosters a high-performance culture driven by values and continuous knowledge exchange.
Identify and map workflows to find step-change opportunities for AI automation.
Design and build future-state workflows using agents, integrations, and human-in-the-loop checkpoints.
Deploy and run agents in production, tracking KPIs and iterating on performance.
Natera is a global leader in cell-free DNA testing, focusing on oncology, women's health, and organ health. The company employs a diverse team of dedicated professionals from world-class institutions, fostering a collaborative and inclusive culture.
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.
Develop, deploy, and maintain production-grade Machine Learning models in cloud environments.
Build, maintain, and optimize data pipelines and monitor model performance post-deployment.
Partner with engineering, data, and business stakeholders to translate goals into scalable ML solutions.
In All Media is a global technology and design firm building impactful digital solutions through remote, distributed teams across LATAM. They partner with international clients across industries, providing long-term technical expertise and team augmentation.