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.
Design, develop, and implement data science, statistical modeling, and machine learning solutions.
Analyze large, complex datasets to identify trends, patterns, and actionable insights.
Build dashboards and visualizations using Power BI and Tableau, and communicate findings to technical and non-technical audiences.
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA, supporting public sector agencies and commercial enterprises globally. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results.
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.
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.
Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation.
Own projects end-to-end across search, AI, instant answers, and revenue optimization.
Build monitoring pipelines, evaluation datasets, and trigger systems that balance quality and privacy.
DuckDuckGo is an online protection company raising the standard of trust online through private search, browser, and AI products. Founded in 2008 and profitable since 2014, the remote-first team of 300+ emphasizes trust, inclusivity, and empowered project management.
Develop statistical models and machine learning algorithms to improve patient enrollment and trial management.
Build and optimize data pipelines and analytical workflows using AWS tools like Athena, Redshift, SageMaker, and dbt.
Ensure data science practices comply with HIPAA and GDPR while monitoring models for bias and performance drift.
Care Access brings clinical research and health services to communities worldwide through hundreds of research locations and mobile clinics. The company is dedicated to making healthcare more accessible and puts people at the heart of medical progress.
Develop and implement data science strategies to enhance ML models for lead scoring, churn, pricing, personalization, and fraud detection.
Collaborate with engineering and business stakeholders to drive end-to-end data science initiatives from data to deployment.
Communicate findings clearly to technical and non-technical audiences for business impact.
Engine is an AI-native platform for intelligent travel, powering modern business travel with proprietary technology and supply. Serving 40,000+ customers and nearly 2 million travelers, it is recognized as a Best Place to Work with an ambitious, high-ownership culture.
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 statistical and machine learning solutions for a major U.S.-based e-commerce retailer.
Collaborate with project leadership, data specialists, and engineering teams to translate business challenges into analytical models.
Drive end-to-end data science projects from data exploration and feature engineering through predictive modeling and production deployment.
The company is a technology consultancy that delivers data science and machine learning solutions to clients. It is a growing, fully remote organization that values continuous learning and professional growth.
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.
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.
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.
Define and build the data science strategy for a new pet health data business unit.
Analyze complex multi-source datasets to build predictive models and commercial insights.
Partner with cross-functional teams to develop monetizable data products and ensure data integrity.
Destination Pet is a national network of pet-obsessed professionals dedicated to elevating the love and lives of pet families through total pet care. They are launching a new PE-backed business unit to build a data platform for the pet health ecosystem, backed by an established platform with startup agility.
Own and clean the data foundation: integrate external credit, bank, and tax data with engineering.
Develop underwriting criteria, credit limits, and portfolio monitoring using SQL and Python.
Build dashboards, early-warning signals, and collection insights to reduce losses.
Jeeves is a stablecoin-native banking platform for global enterprises offering cards, payments, and treasury. With thousands of customers across 35 countries and $400M+ funding, it's a high-growth, relentless culture.
Explore complex datasets to identify fraud patterns and behavioral signals.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean, well-tested code and work with engineering to bring models into production.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries, with a people-first, inclusive and purpose-driven culture.
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.
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.
Deliver novel and impactful insights for client organizations using machine learning and AI technologies.
Work closely with Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians, trusted by over 85% of physicians and 300+ health systems. The company values curiosity, ownership, inclusion, and making a meaningful impact in healthcare.
Perform analysis tasks to identify anomalies and their root cause, and propose validations to programmatically identify such conditions.
Propose methods to normalize data, implement them, check accuracy, and iterate until sufficient accuracy is achieved.
Increase the accuracy of derived datasets and data products.
Wurl creates innovative technologies and services to accelerate the shift to streaming. With over 150 employees, it offers a dynamic startup environment within a high-growth public tech company, fostering a culture of passion, excellence, and collaboration.
Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models, and experiments.
Analyze and interpret PB-scale transactional, operational, and customer data using proprietary and open source tools.
Translate complex findings into simple visualizations and recommendations for operational teams and executives.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. With over 300 million users across 100+ countries, it offers a flat, results-driven culture and a fast-paced, innovative environment.