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.
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.
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.
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.
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.
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.
Build reusable data models and pipelines to become the source of truth for the Video product team.
Establish data and analysis infrastructure for scalable A/B testing and experimentation.
Develop predictive and causal models to improve forecasting, retention, pricing, and product strategy.
PlayOn is the largest platform for high school sports in the US, reaching millions of fans, parents, coaches, and student athletes across NFHS Network, MaxPreps, and GoFan. Backed by KKR, we are a growth-stage company on a mission to make high school sports more accessible, more memorable, and more connected than ever before.
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 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.
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.
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 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.
Maintain core analytics and data infrastructure, building BI tables and dashboards for cross-functional teams.
Drive operational insights by analyzing logistics, phlebotomist utilization, and supply/demand planning.
Support strategic initiatives including market expansion modeling, partner analysis, and financial forecasting.
Getlabs is the leading platform for at-home diagnostics, enabling healthcare organizations to send mobile phlebotomists to patients' homes. The company has raised $50M from strategic investors including Labcorp and Quest, and is now part of Function Health, with a team of ambitious colleagues.
Analyze large datasets to identify trends and insights that drive business decisions, using Looker for automated reporting.
Collaborate with business leaders to provide actionable recommendations and evolve from descriptive reports to proactive data-driven improvements.
Design data models, utilize statistical techniques, and mentor junior analysts to foster a data-driven culture.
PatientPoint is a leading digital health company that connects patients, healthcare providers, and life sciences companies with the right information at the moment of care. With over 750 million patient visits annually across 35,000 physician offices, they are a purpose-driven team committed to improving health outcomes.
Oversee the entire data pipeline from instrumentation to presentation, directly working with departments and senior leadership to shape game and business direction.
Identify KPIs around engagement, retention, and churn, own databases, and automate reporting for a variety of audiences.
Play the game to ensure data-driven decision-making across the studio.
Turtle Rock makes the games they want to play, dedicated to a collaborative environment empowering creative freedom and growth. The studio is based in Orange County, CA, supports flexible work arrangements, and is an award-winning game development team.
Develop predictive forecasting models and pipeline analytics to improve revenue forecasting and operational visibility.
Partner with Revenue Operations, Finance, and Data Engineering teams to enhance data-driven decision making and AI readiness.
Build scalable dashboards, models, and analytical frameworks to support sales productivity, customer insights, and churn analysis.
We are a global leader in Network as a Service (NaaS), transforming how businesses connect to cloud, data centers, and each other. With over 600 employees across Asia-Pacific, Europe, and the Americas, we foster a collaborative, supportive, and fun culture.
Derive insights and support strategy by leveraging data analytics to optimize product, risk, or growth strategies.
Monitor portfolio health by tracking performance metrics, user behavior, and macroeconomic trends.
Write clean SQL and Python to build scalable reporting and partner with Engineering on machine learning and risk models.
Affirm is a fintech company reinventing credit by offering buy now, pay later solutions with no hidden fees or compounding interest. With a focus on honest and friendly consumer finance, Affirm is a large, remote-first company that values diversity and employee wellbeing.
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.
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.
Leverage advanced analytics, machine learning, and large-scale data to design innovative risk solutions and tackle complex fraud challenges.
Work closely with clients and cross-functional teams to optimize decision-making and improve product performance.
Drive a data-first culture by promoting analytical thinking and data-driven decision-making across teams and client engagements.
Our partner is a fast-growing, remote-first company at the forefront of fraud prevention and financial risk intelligence. They offer a high-growth international environment with world-class professionals and a supportive culture.