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.
Conduct in-depth analysis to shape product-led growth and B2B strategy.
Leverage AI tools to build self-service analytics enabling stakeholders to access reliable metrics.
Collaborate with product and engineering teams to drive experimentation culture and practices.
Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and have the backing of some of the world's greatest investors, including OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.
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 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.
Develop and refine predictive models and AI-driven insights to enhance intelligence and operational planning.
Implement Agile methodologies, including sprint-based development and quarterly cost reviews.
Integrate customer feedback and document model performance and operational impact.
SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. They deliver tailored solutions to enable national security missions worldwide, with a focus on government clients.
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.
Drive sales efficiency by analyzing workflows, optimizing pipeline velocity, and building dashboards that inform leadership decisions.
Own sales KPIs, build forecasting models, and act as the source of truth for data-informed decision-making across the sales organization.
Audit the sales tech stack, identify gaps, champion new tools, and ensure adoption by making them easy to use for the team.
Zerohash is the leading crypto and stablecoin infrastructure platform, powering the next generation of financial services. The company has raised over $280 million in funding and is trusted by major financial brands like Morgan Stanley, Stripe, and BlackRock.
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.
Partner with Product & Engineering to analyze product engagement and the full customer funnel, including acquisition, conversion, retention, and churn.
Build and maintain statistical models and analyses related to key product use cases such as A/B tests, cohort analysis, and conversion/retention optimization.
Design, analyze, and interpret experiments (A/B and multivariate tests) across marketing channels and on-site experiences, ensuring statistical rigor and clear recommendations.
Hone is an online medical clinic transforming healthcare and enhancing longevity using scientific advancements. Operating as a fully virtual and remote-first employer, the company values customer focus, execution, candid communication, collaboration, and joy.
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.
Own production data products that directly power business decisions, from marketing automation to core semantic models.
Design and analyze experiments with Product and Growth teams to define metrics and recommend next steps.
Solve ambiguous business problems by exploring data, identifying opportunities, and translating insights into impact.
Smallpdf makes document management simple for everyone, from PDF conversion to e-signing. With over 1.1 billion users globally and 17 million monthly users, it's one of Europe's largest product-led tech companies, fostering a culture of growth and collaboration.
Act as a business partner to Customer Excellence leaders, leading projects to develop answers to key business questions.
Present insights to executives to drive performance improvements and establish scalable process enhancements.
Mine large datasets, draw relevant insights, and create visualizations for executive consumption.
Smartsheet provides a cloud-based platform for work execution, enabling teams to plan, track, automate, and report on work at scale. The company has been operating for over 20 years and fosters an inclusive culture focused on innovation and employee growth.
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.
United StatesDominican RepublicCanada
Unlimited PTO
Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.
Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.
Own and maintain the GTM intelligence layer, including dashboards and data models for decision-making.
Build and train AI models in BI tools to enable natural-language querying.
Partner with data engineering to optimize performance and build missing data pipelines.
Primer provides unified infrastructure for global payments, giving finance and payments teams visibility and control to reduce complexity and improve performance. Backed by top investors, they are building a remote-first culture with a collaborative environment and strong support.
Drive causal inference and experimentation to prove what actually works in fundraising, moving beyond correlation.
Build predictive and forecasting models for donor behavior, retention, and lifetime value, ensuring calibration and honest uncertainty.
Own the ML lifecycle on Databricks and MLflow, from training and deployment to monitoring and drift detection.
Bloomerang provides a powerful giving platform that enables tens of thousands of nonprofits to raise more, recruit more, and retain more. The company fosters a mission-driven culture built on core values of Simplify, Care, and Act, with a team of innovative and skilled individuals.
Build, maintain, and improve decision systems and predictive models key to competitive advantage.
Explore new data sources, design experiments, and prototype solutions using cutting-edge technologies.
Identify and implement advanced analytics methods as part of a collegial data science team.
Purchasing Power is a leading employee purchase program that helps people buy products through payroll deduction, part of PROG Holdings (NYSE: PRG), a FinTech holding company. We're an entrepreneurial, high-ownership team building data-driven products, moving fast with data-grounded decisions.
Build and productionize ML-driven systems for personalization, search, and recommendation to drive business impact.
Utilize advanced algorithms and data mining to optimize product recommendations and improve conversion rates.
Develop AI/ML systems across search ranking, recommendation, and content intelligence to enhance user growth and outcomes.
Sporty is a remote-first company focused on delivering personalized and data-driven experiences in the gaming industry. They are a global team pursuing sustainability with a competitive salary and quarterly performance bonuses.
Manage forecasting processes, pipeline reviews, and opportunity governance for compute products.
Improve CRM data quality, adoption, and sales process consistency across the organization.
Build dashboards, reports, and operational insights to support Sales Leadership.
Megaport is the global leader in Network as a Service (NaaS), transforming how businesses connect to the cloud and data centers. With over 600 employees across Asia-Pacific, Europe, and the Americas, we foster a collaborative, supportive, and fun culture that values curiosity and inclusion.
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.