Define the technical roadmap for Growth and Engagement ML systems, ensuring scalability and business impact.
Architect and deploy production-grade ML pipelines and real-time decisioning systems for personalization and onboarding.
Mentor senior engineers and collaborate with Product, Data Science, and Marketing leadership to drive core metrics.
Phantom is on a mission to connect the world to the freedom of open markets, providing access to global markets that never close. With around 180 fully remote employees and backed by a $150M Series C investment from a16z, Sequoia Capital, and Paradigm, we foster a culture of innovation and inclusivity.
Partner with customers and internal teams to translate marketing measurement questions into data science problems.
Analyze model and experiment results, investigate unexpected outcomes, and identify data, modeling, or measurement issues.
Translate complex statistical and modeling results into clear insights and actionable recommendations.
Northbeam builds an advanced marketing intelligence platform for eCommerce brands, using attribution modeling and customizable dashboards. The company is growing rapidly with a strong product-market fit and a remote-friendly, collaborative culture.
Build and ship ML and GenAI systems from research to production.
Communicate technical concepts clearly to non-technical stakeholders.
Foster an atmosphere of experimentation, continuous learning, and improvement.
Expel is a cybersecurity company that uses machine learning and generative AI to detect threats in customers' environments. They offer a small, highly transparent environment where your voice matters and decisions have direct impact.
Own ambiguous, high-impact problem spaces across product and business domains, from question framing to implementation with cross-functional partners.
Design and evaluate experiments to measure the impact of product changes and uncover root causes of metric movements.
Develop tools, methodologies, and frameworks to enhance data-driven decision making across the company.
Quora operates two platforms: Quora, a global knowledge sharing platform, and Poe, a platform for chatting with various AI language models. They have a global team with a culture of transparency, experimentation, and collaboration.
Develop advanced ML models and agentic workflows to accelerate model development.
Use AI-assisted tools like Claude and Cursor to investigate model behavior and automate analysis.
Set technical direction, mentor engineers, and raise the bar for modeling rigor.
Reddit is a community of communities, built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Build Boulevard’s product data foundation, designing models and tech stack to translate raw data into analysis-ready assets in partnership with data engineering.
Partner with product managers to develop data-driven recommendations through engaging narratives, data storytelling, and visualizations tailored to all levels of the organization.
Own the experimentation practice end-to-end, from designing tests with clear hypotheses and metrics to running analysis and delivering defensible impact readouts.
Boulevard provides the first and only client experience platform for appointment-based, self-care businesses, empowering salons, spas, and medspas to manage scheduling, payments, marketing, and client relationships. With over 5,000 businesses processing $5 billion in payments annually and $188M in funding, we value curiosity, experimentation, and diversity, and we are growing fast as we expand upmarket.
Lead the analytical strategy to improve member and provider experiences within Spring Practice, leveraging AI and predictive modeling.
Drive rapid experimentation with a focus on quasi-experimental methods, validate improvements, and provide clear recommendations.
Act as an embedded technical leader, partnering with product and design teams to define success metrics and ensure data-driven decision-making.
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health, offering an AI-native platform for personalized care. The company reaches over 170 million people worldwide and fosters a culture of innovation, inclusivity, and data-driven collaboration.
Partner with PED and business units to drive analytics initiatives and understand user engagement.
Develop measurement frameworks, design experiments, and analyze user behavior in a two-sided marketplace.
Communicate insights to stakeholders and align cross-functional priorities on analytical roadmaps.
Peerspace is a leading online marketplace for venue rentals for meetings, productions, and events. With over $500M transacted and investors including GV, the company fosters an inclusive culture and values cross-functional collaboration.
Lead the Marketing Data team to design and execute a multi-year roadmap aligned with Stripe's growth strategy.
Build a marketing measurement strategy connecting investments to incremental growth, pipeline, and revenue.
Guide AI adoption in marketing and develop a high-performing organization of data scientists and managers.
Stripe is a financial infrastructure platform for businesses, helping millions of companies accept payments and grow revenue. With a mission to increase the GDP of the internet, Stripe fosters a culture of passion, grit, and integrity, welcoming diverse perspectives.
Lead data strategy for a large domain, connecting customer and commercial goals to high-impact Data Science work.
Identify and frame ambiguous, strategically important problems where the path is unclear.
Partner with senior leaders, set best practices for experimentation and causal inference, and coach data scientists.
Monzo is a digital bank on a mission to make money work for everyone, offering current accounts, savings, investments, and pensions in the UK. They have over 11 million customers and a strong culture of data-driven decision making, with 80% of growth from word of mouth.
Lead the Independent Agency Data Science team, overseeing Quote Efficiency models and emerging opportunities to enhance agent and customer experience.
Collaborate with cross-functional teams to design and deploy AI/ML solutions that improve sales and operational efficiency.
Manage and develop a team of 7-10 data scientists, setting goals and promoting growth and diverse perspectives.
Liberty Mutual is a global insurer providing property and casualty insurance. It employs tens of thousands globally and fosters an inclusive, supportive culture focused on employee well-being and professional development.
Build and operate production ML systems for recommendations, ranking, and personalized action selection across Stripe's Growth Platform.
Improve contextual bandit and policy-learning approaches, including exploration, reward design, and adaptive user feedback.
Develop reliable data and feature pipelines, reusable tooling, and online experiments to drive measurable business outcomes.
Stripe is a financial infrastructure platform for businesses of all sizes, enabling payments and revenue growth. With millions of companies as customers, Stripe fosters a culture of passion, grit, and integrity while working to increase the GDP of the internet.
Gather business requirements and apply trend analysis to identify actionable insights using analytic tools and healthcare claims data.
Develop, fine-tune, and implement large language models (LLMs) and deep learning models for anomaly detection and automated analysis.
Build visualizations and dashboards in Tableau to communicate findings and support business workflows.
Cohere Health is a healthcare technology company that uses data science to improve clinical outcomes and reduce costs. The company operates remotely with a focus on innovation and collaboration, employing a team of data scientists and engineers dedicated to transforming healthcare data into actionable insights.
Lead end-to-end data science projects leveraging Azure Machine Learning, Databricks, and Power BI to extract insights from large datasets.
Build predictive models and develop complex algorithms, applying statistical and machine learning methods to solve complex business problems.
Act as a subject matter expert, delivering actionable guidance to stakeholders and collaborating with cross-functional teams to drive continuous improvement.
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions and industry intelligence. Established in 2002, it is one of the largest US-based Microsoft solution partners and a multiple Microsoft Partner of the Year and Inc. Best Workplaces award winner.
Lead the architecture and delivery of complex data science and AI solutions on Azure, including machine learning, forecasting, and optimization.
Manage and mentor a Senior Data Scientist, providing technical oversight, coaching, and ensuring alignment to best practices.
Engage directly with clients to translate business problems into scalable, production-ready AI solutions while communicating technical concepts to non-technical stakeholders.
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions and industry intelligence. Established in 2002, the company has grown into one of the largest US-based Microsoft solution partners, with a culture that has earned them three-time Inc. Best Workplaces award.
Design and implement mathematical models to drive key product goals, including subscription prediction and article recommendations.
Lead hands-on analysis and modeling projects, choosing the right analytical method for each problem.
Develop data science pipelines in production and guide experiments to improve the product.
The Athletic is a sports media company that delivers comprehensive coverage of professional and college teams across North America and the English Premier League. With a newsroom of 500+ full-time staff, it provides in-depth storytelling and fosters a data-driven, collaborative culture.
Own analytics instrumentation and measurement for AI products including Voice AI, Conversation AI, AI Employee, and Ask AI.
Define success metrics and KPIs, and partner on experiments for non-deterministic AI features.
Influence product roadmaps with data-driven recommendations and mentor analysts as the team scales.
HighLevel is an AI-powered business operating system that helps agencies, entrepreneurs, and SMBs build, automate, and scale their operations. With over 2,000 team members across 10+ countries, it operates as a global remote-first organization valuing initiative, clarity, and execution.
Lead the team in roadmapping and executing machine learning features and products.
Improve team pace through technical expertise and pragmatic tradeoffs.
Drive recruiting, reliability, and growth of team members.
Hightouch helps companies sync data into their SaaS systems to automate and improve operations. They are a remote-first company with hundreds of customers and a culture focused on engineering excellence.
Apply machine learning and AI to analyze large datasets and improve user experiences for new and returning users.
Lead data projects, providing insights and recommendations for data-driven decisions that drive recommendation systems.
Collaborate with cross-functional teams to build pipelines, tools, and evaluate experimental designs for business impact.
Tubi is a free streaming service that offers Hollywood movies, TV shows, and original content, entertaining over 100 million monthly active users. Headquartered in San Francisco and founded in 2014, it is part of Tubi Media Group, a division of Fox Corporation, with a culture focused on innovation and inclusivity.
Develop and maintain machine-learning models across the full data science lifecycle.
Collaborate with ML engineers to deploy scalable supervised and unsupervised learning algorithms.
Design and run A/B tests to validate hypotheses and measure business impact.
The company operates in programmatic advertising, building machine-learning models that process terabytes of data and support billions of real-time advertising requests worldwide. It is a diverse, globally distributed team that values simplicity, collaboration, and practical impact.