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.
Build and own attribution and marketing mix models using state-of-the-art machine learning algorithms.
Design experiments and interpret results to draw detailed and actionable conclusions.
Work cross-functionally with product, engineering, and business teams.
Moniepoint is an all-in-one digital financial services platform for businesses in emerging markets. Since 2019, it has powered over a million businesses, is Africa's second-fastest growing fintech, profitable, and recognized as the most inclusive payment platform in Nigeria.
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 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 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.
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.
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.
Use scientific research methods, statistics, machine learning, causal inference, and AI to study business and deploy analytical solutions.
Develop close stakeholder relationships, solve business problems, and educate stakeholders on analytics, AI/ML processes.
Mine data systems, clean and structure data, develop pipelines, and partner with Data Engineering to put models into production.
Gilbane is a Top-10 ENR Contractor, a family-owned construction management firm with 45 offices, shaping communities since 1870. They are committed to delivering projects safely and on-time, and foster a diverse, inclusive workplace.
Build predictive models using statistical and machine learning techniques to identify member behaviors and opportunities.
Design and lead controlled experiments and A/B tests to evaluate strategies and ensure statistical rigor.
Translate complex data into clear insights through visualizations, dashboards, and presentations for cross-functional teams.
BECU is a member-owned credit union with 1.5 million members and over $30 billion in managed assets, rooted in a 'people helping people' philosophy since 1935. With over 90 years of history and a focus on purpose-driven work, they employ a large team and prioritize community, collaboration, and growth.
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.
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.
Turn complex product, customer, and risk data into clear insights and decision frameworks.
Use AI tools and agent workflows to improve speed and quality of analytical work.
Define and maintain measurement frameworks for credit products including customer eligibility and repayment behavior.
Block builds technology to increase access to the global economy through brands like Square, Cash App, and Afterpay. Cash App has thousands of employees globally, with a culture geared toward innovation, collaboration, and impact.
Apply statistical, machine learning, and data mining techniques to large health data sets to build new products and methodologies.
Collaborate with Product Managers, Analysts, and Engineers to deliver and iterate on data-driven product solutions.
Explore high-volume data to identify signals, patterns, and relationships to infer insights from imperfect data.
Veeva Systems is a mission-driven pioneer in industry cloud, helping life sciences companies accelerate therapy delivery to patients. As one of the fastest-growing SaaS companies, it surpassed $3B in revenue with a culture valuing Do the Right Thing, Customer Success, Employee Success, and Speed.
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.
Define and validate the metrics that product teams use to measure success
Build metric frameworks connecting product performance to business outcomes like revenue and conversion
Analyze user behavior and product funnels to identify opportunities and guide product strategy
Constructor is a next-generation platform for search and discovery in ecommerce, built to optimize for revenue, conversion, and profit. Founded in 2019 and based in the U.S., the company values empathy, openness, curiosity, and continuous improvement, powering over 1 billion queries daily.
Assist in collecting, cleaning, processing, and analyzing structured and unstructured datasets.
Develop and maintain data models, algorithms, and analytical solutions under guidance.
Apply statistical methods and machine learning techniques to solve business problems.
The company works on innovative digital products and technology-driven projects. It has a collaborative, global work environment with exposure to diverse teams and perspectives.
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.
Develop statistical and machine learning models for credit and risk applications.
Conduct all stages of model development from data exploration to deployment.
Collaborate with cross-functional teams to translate business needs into analytical solutions.
Experian is a global data and technology company that drives opportunities for people and businesses worldwide. With 25,200 employees across 32 countries, it fosters an inclusive, purpose-driven culture recognized as a Great Place to Work.
Work closely with product, engineering, and business teams to identify opportunities and monitor performance across acquisition, retention, and engagement.
Design, execute, and analyze A/B tests and multivariate experiments to evaluate product changes and growth initiatives.
Develop and maintain scalable, self-service dashboards and visualization tools to improve visibility of KPIs across teams.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses technology to review applications and create shortlists, while hiring decisions are ultimately made by humans.
Own the full data science engine for a priority vertical, from business problem to deployed model, driving measurable ROAS.
Build buying models that maintain positive ROAS and quality while improving lead quality across the portfolio.
Establish trusted, direct partnerships with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. They are a profitable, bootstrapped company with a remote-first team across 18 countries, emphasizing impact and ownership.