Lead complex analytical, predictive, and applied AI workstreams with high independence.
Define data science approaches and modeling strategies for high-value business problems.
Mentor junior practitioners and improve delivery quality through best practices.
Valtech is the experience innovation company that helps brands unlock new value in an increasingly digital world. With a global, borderless team and a culture fostering creativity and autonomy, they partner with leading companies like L'Oréal and Audi.
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.
Partner with business leaders to identify opportunities and develop analytical strategies.
Create predictive models and scalable machine learning solutions to optimize customer acquisition and retention.
Translate complex data findings into clear business recommendations and drive experimentation.
This company leverages advanced data science and machine learning to solve complex business challenges. It fosters a collaborative and inclusive culture focused on innovation, growth, and teamwork.
Work collaboratively with HCD lead to analyze data, form insights and predictions for CMS price transparency initiatives.
Build predictive models, AI tools, and data visualizations to support product design and automate processes.
Perform data mining, feature selection, and anomaly detection using machine learning techniques in an agile environment.
Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. It fosters a collaborative, remote-first culture and invests in employee well-being with comprehensive benefits.
Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
Research and develop new methods and tools to improve the business and present results to leadership.
Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.
Shape Mozilla's most important business decisions with rigorous, data-driven insights and influence executive strategy.
Build trusted partnerships with senior leaders and cross-functional partners to drive alignment and faster decisions.
Design sophisticated analytical solutions for large-scale problems, mentoring data scientists and raising technical standards.
Mozilla is a non-profit-backed technology company that pioneered the Firefox browser and shapes the internet for the better. With over 225 million monthly users and a mission-driven culture, Mozillians design open-source software globally.
Collaborate with business leaders to translate high-impact business problems into data science and data analysis projects.
Develop and implement predictive models and machine learning algorithms for forecasting, customer segmentation, and optimization.
Perform exploratory data analysis and create compelling dashboards and reports for both technical and non-technical audiences.
Concurrent Technologies Corporation is an independent, nonprofit applied scientific research and development organization. It fosters a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission.
Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
Partner with client stakeholders to develop data-driven strategies and present findings to executives.
Mentor team members and influence data governance and best practices within the organization.
Excella is a transformative technology firm that helps organizations unlock new possibilities. They are committed to developing talent and providing opportunities for career growth at every stage, with a collaborative team dedicated to solving complex problems.
Manage, mentor, and grow a team of data scientists while fostering team development.
Collaborate on complex problems using R, Python, or SQL to optimize data processing and derive insights.
Communicate findings and engage with internal and external stakeholders to develop tailored solutions.
iSpot is a TV ad measurement and analytics startup delivering valuable insights to clients. It is a fast-growing Seattle-based company with a collaborative culture, competitive compensation, and a focus on innovation.
Develop and improve AI solutions using state-of-the-art machine learning and LLM technologies.
Collaborate with data scientists, product owners, and developers throughout the data-driven development process.
Apply software engineering best practices to build reliable code and conduct code reviews.
Wrike is a work management platform that helps teams collaborate and increase productivity. With over 1,000 employees across 10 global hubs, the company fosters a culture of innovation, collaboration, and customer focus.
Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
Mentor junior data scientists and influence technical decisions within the team.
OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.
Partner with cross-functional teams to drive data-driven decisions across product, operations, and business.
Design and analyze experiments, develop predictive models, and build dashboards and reports.
Use advanced SQL, Python, and statistical techniques to extract insights from large datasets.
ecoATM is a technology company and pioneer of device re-commerce, operating automated kiosks and online marketplace Gazelle.com to enable mobile device re-use. They value their employees and foster a culture of growth, impact, and collaboration.
Lead complex data science projects to measure impact and improve government services.
Apply AI/ML techniques and generative AI to enhance product delivery.
Collaborate cross-functionally to translate data insights into actionable improvements.
Code for America uses technology to improve government services for all people. They are a nonprofit with a collaborative, cross-functional team dedicated to transparency and fairness.
Lead and scale a high-performing team of Analysts and Data Scientists embedded within Product domains.
Set the bar for analytical quality, experimentation rigor, and data science application across multiple product areas.
Partner with senior Product, Engineering, and Commercial leaders to shape strategy and drive measurable business impact.
Tripadvisor is the world's largest online travel site, visited by 390 million travelers each month. Its experiences business, Viator, is a fast-evolving, highly data-driven organization focused on building great products through data.
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.
Develop production-ready analytics that support smarter energy decisions, improve grid reliability, and accelerate the transition toward a more sustainable future.
Lead the design, development, and refinement of statistical and machine learning models for load forecasting, flexibility analysis, customer behavior modeling, and energy resource optimization.
Analyze large-scale datasets including smart meter data, customer information, grid attributes, and external factors to identify patterns and support strategic decision-making.
Our partner company offers the opportunity to apply advanced data science, machine learning, and AI techniques to solve complex challenges in the energy sector. You will work with one of the largest energy datasets available, combining large-scale meter data, weather information, geospatial context, and grid attributes.
Define the end-to-end experimentation methodology to guide product decisions across the company.
Build rigorous statistical methods for small-sample, multi-product environments with causal inference.
Partner with cross-functional teams to scale experimentation culture and coach PMs and analysts.
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, it operates as a global, remote-first organization built for speed and ownership.
Partner directly with enterprise customers to understand business challenges and define AI solution requirements.
Design, build, and deploy scalable machine learning, Generative AI, and agentic AI solutions for supply chain challenges.
Collaborate cross-functionally with Product, Engineering, and Customer Success teams to deliver customer outcomes.
We pioneer intelligent, autonomous systems that redefine supply chain risk management, using agentic AI to help global enterprises predict disruptions. We are a fully remote, mission-led team focused on making critical goods get where they need to be.
Analyze Gremlin's proprietary dataset of millions of chaos engineering experiments to identify failure patterns and root causes.
Build and productionize machine learning models for automated failure analysis and remediation.
Develop scalable data pipelines and collaborate with engineers to integrate AI-driven features into the core product.
Gremlin provides a reliability platform that helps software teams proactively monitor and test their systems for common reliability risks. They are a team of industry veterans backed by top-tier investors, working with hundreds of the world's largest organizations where high availability is non-negotiable.
Own experimentation end-to-end, including A/B test design, execution, and statistical significance frameworks.
Drive causal inference analyses to understand product and customer outcomes beyond correlation.
Serve as the analytics escalation point for deep statistical rigor across the organization.
Bluefish is building an AI marketing platform that helps brands engage consumers on AI channels. The company is a globally distributed Series B startup with a team of mar-tech industry veterans and a focus on craftsmanship and collaboration.