Own the full data science engine for a priority vertical, from business problem to deployed model, driving measurable ROAS.
Build buying models that maintain positive ROAS and quality while improving lead quality across the portfolio.
Establish trusted, direct partnerships with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. They are a profitable, bootstrapped company with a remote-first team across 18 countries, emphasizing impact and ownership.
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.
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.
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.
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.
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.
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.
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.
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.
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 growth initiatives end-to-end including GM, platform engagement, workforce recruiting, and reactivation.
Drive data-driven decisions across paid and organic channels while managing cross-functional projects.
Test and experiment with levers to scale contributor acquisition and retention without a playbook.
Surge AI builds a platform that empowers the world's most powerful AI models with human intelligence. They are a profitable, self-funded company with a team of engineers and researchers.
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.
Define and execute AI strategy, partnering with executive leadership to build AssetWatch's AI-native vision and roadmap.
Lead the AI and Data Science organization, building, mentoring, and developing high-performing teams across Machine Learning Engineering and AI Engineering.
Partner across the business to identify AI opportunities, implement governance, and measure impact on customer outcomes and revenue.
AssetWatch powers manufacturing uptime by delivering condition monitoring solutions for global manufacturers. They are a devoted team of world-renowned engineers and distinguished business leaders united by a common goal to build the future of predictive maintenance.
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.
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 optimize predictive models for nonprofit partnerships, tuning to each client's data.
Drive the data and quantitative side of a best-in-class prospect research tool using agentic AI.
Solve identity resolution, data quality, and large-scale data issues end to end.
Dataro is an ethically minded SaaS startup using machine learning to help not-for-profits raise more money. As a small, remote-first team, they value autonomy and collaboration with a focus on data-driven fundraising.
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.
Build and maintain ICP scoring models, intent signal pipelines, and account prioritization logic across the GTM stack.
Apply LLMs to automate research, enrichment, and outreach personalization at scale.
Design lightweight orchestration systems connecting GTM tools and own the full integration lifecycle.
Immuta is a data provisioning company that helps organizations automate secure, governed data access for both humans and AI systems. Founded in 2015, it has $267 million in total funding, is trusted by Fortune 500 companies and government agencies, and operates as a hybrid workplace globally.
Define the multi-quarter vision and strategy across Machine Learning & Recall and Query teams.
Drive query intelligence and advance recall systems to improve search-attributed conversion and revenue.
Build evaluation frameworks and optimize ML performance trade-offs for low-latency production.
Constructor provides product search and discovery solutions for large retailers, serving billions of requests weekly. The company is a remote-first, growing team of technologists that values empathy, openness, and continuous improvement.
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.