Design and maintain scalable data pipelines for ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
Build workflows for processing unstructured data and develop semantic representations to enable advanced search, retrieval, and LLM-powered applications.
Collaborate with stakeholders to translate business requirements into scalable data and ML solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to review applications and share top-fitting candidates directly with employers, ensuring a fair and efficient hiring process.
Apply advanced statistical analysis, data mining, and machine learning techniques to complex engineering datasets.
Develop data pipelines, automation systems, and scalable infrastructure for real-time and batch processing.
Collaborate with research teams and external partners to drive innovation and scientific impact.
The Accelerator at Princeton includes a portfolio of multiple planned independent and intersecting tools. It is part of Princeton University, an equal opportunity employer with a mission of advancing scientific research and fostering collaboration.
Own the full data science engine for a priority vertical from business problem to deployed model, driving measurable revenue and media efficiency.
Deliver buying models that maintain positive ROAS and quality across Insurance and Advertiser Quality.
Establish trusted, direct partnership with vertical business stakeholders and produce validated, documented output.
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Own end-to-end analytical problems from framing through modeling and stakeholder rollout.
Build predictive and inferential models to improve product and operational decisions.
Partner with Product, Engineering, and Operations to define metrics and drive insights.
Focal Systems is the industry leader in retail AI solutions, using deep learning computer vision to automate and optimize brick and mortar retail. They are a tight-knit team with an ambitious mission, deployed at scale with top retailers worldwide.
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.
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.
Design, build, and maintain data pipelines to analyze complex behavioral health datasets.
Implement and fine-tune AI/ML models to identify clinical trends and predictive patterns.
Act as the technical voice on scientific papers, translating data methodologies into clear, publication-ready text.
Our client is a behavioral health technology company using data science and AI to improve mental healthcare outcomes. They are a growing team that values collaboration with clinical experts to drive impact.
Lead and support Data Engineering teams, driving technical excellence and mentoring engineers in scalable data solutions.
Design and oversee data solutions using Databricks, Apache Spark, and cloud platforms like AWS, Azure, or GCP.
Collaborate with clients and stakeholders to define technical strategies and ensure high-quality, business-driven outcomes.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25+ countries, they foster a collaborative culture focused on innovation and growth.
Support the development of scalable data pipelines and platform components, following established frameworks and guidance from senior engineers.
Apply software engineering best practices, including coding standards, version control, testing, and documentation, to deliver reliable and maintainable code.
Collaborate with engineers, product owners, and cross-functional teams in an agile environment to support feature development and delivery commitments.
Experian is a global data and technology company that powers opportunities for people and businesses around the world. With 25,200 employees across 32 countries, it has a people-centric, inclusive, and purpose-driven culture recognized as a World's Best Workplace.
Collaborate with Product, Engineering, and Commercial teams as the analytical backbone of your pillar, blending statistical rigor with commercial judgment.
Lead experimentation across your pillar, designing tests, sizing opportunities, and fostering evidence-based iteration.
Create self-serve dashboards and standardize metrics using AI-assisted workflows to accelerate output and focus on high-value problems.
Software Mind develops impactful solutions for global companies, working with tech giants and unicorns on transformative projects. The culture embraces openness, respect, grit, and combines employment with enjoyment among cross-functional engineering teams.
Develop and implement analytics applications using data-oriented programming languages and visualization software to transform raw data into meaningful information.
Build and evaluate Marketing ML models using First & Third Party Customer Data, and create end-to-end projects including analysis design, execution, and summarization.
Collaborate with data engineering and operations teams to productionize work and automate processes for recurring analyses and model building.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company serves 93% of the Fortune 100 and offers a trusted portfolio of creative execution and business process consulting.
Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.
Connect data, customer behavior, and campaign performance to drive personalized CRM strategies for SME clients.
Translate NBO/NBA model outputs into actionable hypotheses, tests, and communication campaigns.
Partner with CRM, Marketing, Sales, Product, Data Science, and Analytics teams to embed analytical intelligence into customer journeys.
Experian is a global data and technology company that drives opportunities for people and businesses worldwide. With 25,200 employees across 32 countries, the company fosters a people-centric, inclusive culture recognized by awards such as World's Best Workplaces 2025 and Great Place to Work in 26 countries.
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.
Build statistical models and machine learning solutions to surface trends and benchmarks from employee relations case data.
Apply NLP and text analytics to extract structure from unstructured case notes and improve anonymization pipelines.
Collaborate with Product and Engineering to translate analytical findings into product decisions and customer-facing insights.
HR Acuity provides employee relations case management and investigation software, helping organizations standardize workplace issue reporting. They are a fast-growing, innovative company with a female founder CEO and an inclusive culture.
Conduct original research on machine visibility, designing studies and analyzing large-scale web crawling datasets.
Build scalable research infrastructure and develop new data collection processes to expand research capabilities.
Collaborate with cross-functional teams to translate findings into actionable insights for product strategy and market positioning.
Our partner is building the research function for machine visibility, exploring how AI systems and autonomous agents interact with the modern web. They operate in a remote-first environment with a culture of autonomy and collaboration.
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.
Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
Develop and test applications for analytics pipelines and support digital analytics implementations.
Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.
Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture.
Build AI-powered capabilities such as data/AI agents and natural-language interfaces to amplify team productivity.
Partner with analysts and stakeholders to turn loosely defined needs into clear, well-scoped technical work.
Wellhub is a platform that connects employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep through a simple subscription. Headquartered in NYC with team members in Europe, North America, and South America, we are on a mission to make every company a wellness company with a team that values wellbeing, collaboration, and diverse perspectives.