Build credit scoring models, improve fraud detection, and design A/B tests for promotions.
Partner with product and operations teams to generate insights and drive decisions.
Take ownership of analytics projects from scoping to communicating findings to stakeholders.
Wave is building financial services to make Africa the first cashless continent, offering mobile money that works anywhere. With millions of users across 9 countries and a rapidly growing team, we foster autonomy and are backed by world-class investors.
Lead business-critical investigations across the customer journey, turning findings into actionable recommendations.
Analyze marketing channel performance, attribution, and incrementality to identify growth opportunities.
Design and evaluate A/B tests with Product and Growth teams using statistical and causal inference methods.
This partner company operates a global digital product used by more than 60 million people monthly. It maintains a collaborative, international, and innovation-driven culture with a lean, high-impact Data team.
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.
Communicate with business stakeholders to understand goals and frame ambiguous questions into well-posed modeling problems.
Build and deploy production-ready models, monitoring outputs and drift.
Translate model behavior and outputs into actionable guidance for technical and non-technical audiences.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs. We deliver 24/7 virtual-first and in-home care alongside families, providers, and health plans.
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.
Develop and deploy machine learning and AI solutions for advertising measurement products, collaborating with cross-functional teams.
Take ownership of core advertising measurement products, expanding capabilities and pushing performance boundaries.
Explore data, prototype ideas, run experiments, and propose new products or advancements to maximize ROI.
InMarket is a leader in 360-degree consumer intelligence and real-time activation for top brands, offering data-driven marketing platforms. With thousands of clients and a team that values innovation, InMarket fosters an AI-forward culture and has won awards for its advertising measurement platform.
Lead deep investigations into revenue opportunities and production ML systems for personalization, experimentation, and automation.
Partner with Product, Engineering, and Data teams to integrate ML features and ensure their performance is measured.
Mentor data scientists and drive best practices for advanced analytics and ML development.
Life360 is a mobile app and device company helping families protect loved ones, pets, and valuables via location sharing and safety features. With over 102 million users and 500+ remote-first employees, its culture is mission-driven and AI-native.
Own analytics and AI workstreams for next-best-action and field education capabilities, translating integrated data into actionable recommendations.
Develop interpretable machine learning, statistical, and generative AI solutions using structured and unstructured clinical, laboratory, commercial, and enterprise data.
Collaborate with data and application engineers on pipelines, version control, testing, and deployment, while documenting data lineage and limitations.
CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Every employee contributes to innovations that transform patient care, supported by a culture of curiosity, accountability, and transparency.
Develop, deploy, and maintain predictive models for LTV, churn, and retention across mobile and web products.
Own the modeling roadmap from problem framing to production, including segmentation, propensity models, and experimentation.
Apply LLMs and machine learning to classify behavioral signals and build AI-powered analytics tools.
GoFasti is a Talent-as-a-Service company bridging world-class LatAm developers and designers with global companies. It values remote work, continuous learning, and strong communication in its talent.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.
Develop machine learning algorithms for device identification using noisy, unlabeled data.
Design supervised, semi-supervised, and unsupervised ML approaches.
Own projects from research through deployment to real-time services.
This partner company develops a high-volume, real-time identification platform for browsers and devices. It prioritizes engineering excellence and data-driven decisions, with a globally distributed team of specialists.
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.
Improve product recommendations across the webshop and app by analyzing customer behavior and product data.
Develop and refine recommendation models using feature engineering and state-of-the-art machine learning.
Design, analyze, and interpret A/B tests to measure impact and define clear success metrics for product teams.
Redcare Pharmacy is Europe's No.1 e-pharmacy, delivering healthcare products and services across the continent. The company fosters a healthy, collaborative work environment where employees feel valued and inspired to contribute to the vision 'Until every human has their health'.
Design AI evaluations: define ground truth, metrics, and scoring methods for models and agents.
Build repeatable eval loops to track quality over time and catch regressions before release.
Translate eval results into actionable recommendations for system improvements.
Alpaca is a global leader in agent-first brokerage infrastructure, providing APIs for stocks, ETFs, options, crypto, and more. We're a diverse team of 400+ remote-first members backed by $400M in funding, committed to opening financial services to everyone.
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.
Own and evolve the product metrics tree, ensuring consistent definitions and alignment with the north-star metric.
Design and analyze A/B tests from experiment setup through statistical validation and actionable recommendations.
Partner with product and functional leads to investigate anomalies, identify growth opportunities, and translate data into strategic insights.
The partner company leverages data to drive product growth and decisions. It maintains a collaborative, remote-first culture with a focus on metrics and experimentation.
Design, develop, and scale machine learning models and advanced analytics solutions to improve healthcare provider data quality and generate network insights.
Apply statistical modeling, predictive analytics, NLP, and anomaly detection to solve complex, open-ended business problems.
Partner with Engineering to productionize models, use LLM tools, and translate findings into clear business value for stakeholders.
Quest Analytics provides healthcare provider network management tools, with models and insights that improve the accuracy, adequacy, and accessibility of healthcare provider networks. For more than 20 years, 90% of America's health plans have used their solutions, and they foster an entrepreneurial culture with workplace flexibility.
Own the causal read on core revenue retention and add-on monetization across CPaaS, AI add-ons, and other revenue surfaces.
Apply rigorous causal inference methods to separate real signal from selection bias, seasonality, and mix artifacts.
Set the technical direction for revenue retention measurement and act as a trusted advisor to Customer Success, Finance, and CPaaS leaders.
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, HighLevel operates as a global, remote-first organization built for speed and ownership.
Apply expertise in quantitative analysis and data mining to understand user interactions and inform product strategy.
Guide product teams to measure what matters and run A/B experiments for continuous improvement.
Partner with finance to build a unified understanding of user lifetime value and product profitability.
Monzo is a digital bank on a mission to make money work for everyone, offering bank accounts, savings, investments, and pensions. With over 4.5 million UK customers and rapid growth, Monzo has an inclusive, data-driven culture that values customer delight and employee empowerment.
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.