Lead development and deployment of machine learning models, statistical analyses, and data experiments for predictive maintenance and logistics optimization.
Oversee data collection, ETL pipelines, and exploratory data analysis to drive product development.
Collaborate with multi-functional teams in an Agile environment to integrate models into applications and monitor performance.
Redhorse Corporation delivers data insights and technology solutions to customers with missions critical to U.S. national interests. The company is a solution-driven firm seeking thoughtful, skilled professionals who thrive as trusted partners in a collaborative culture.
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.
Analyze raw data from various sources and develop datasets, schemas, and models to improve data quality and efficiency.
Document data flows and mappings, and collaborate with data analysts, scientists, and other stakeholders.
Build reports and data dictionaries through SharePoint, and advise on updated reporting to capture and format data for other departments.
KACE leverages data-powered insights to develop strategies and technology-enabled solutions that accelerate mission success. The company is certified as a Great Place to Work, fostering an inclusive, supportive culture with talented professionals passionate about making a difference.
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.
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.
Conduct data analysis, infrastructure, and visualization to identify and track audiences for public education campaigns.
Build and maintain data visualizations for data exploration and trend analysis using Tableau and PowerBI.
Provide technical guidance and coordinate project tasks across teams to exceed client expectations.
Fors Marsh is a team of researchers, strategists, and communicators working together to drive lasting change. The company is a certified B Corporation and a Top Workplace for 7 consecutive years.
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.
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.
Develop, validate, and optimize statistical and machine learning models including regression and XGBoost to detect and prevent fraud.
Design features, build tools, and deploy models in production environments to improve performance and stability.
Conduct model governance activities including validation, documentation, and ongoing monitoring with clear reporting.
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.
Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.
DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.
Lead advanced data science and mathematics projects for DoD clients, applying statistical and machine learning models to complex challenges.
Design and optimize algorithms for data processing and simulation, ensuring scalability and reliability in operational environments.
Collaborate with stakeholders, mentor junior staff, and drive innovation through research and development of emerging techniques.
Concurrent Technologies Corporation specializes in transforming cutting-edge technologies into real-world solutions, harnessing 3D printing, advanced joining techniques, and cutting-edge design tools. The Engineering Division is preparing to stand up a team for a new U.S. Navy initiative, focusing on connecting industry and academic solutions to national security challenges.
Develop tools and applications in Python for data processing, analysis, and forecasting.
Design and optimize Python/Snowflake-based data pipelines for ingesting, cleaning, and transforming data.
Collaborate with global technical and analyst teams to gather requirements and build innovative analytical solutions.
IDC provides trusted technology intelligence for business and technology leaders. With over 1,000 analysts globally, the company fosters a culture of rigor, integrity, and shared success.
Execute end-to-end data science projects, from problem definition to deployment, building machine learning and NLP solutions for client decision-making.
Design scalable data pipelines and workflows, apply LLM APIs, and integrate cloud services into analytical deliverables.
Partner with senior data scientists, engineers, and client teams to create reusable tools that scale insights across projects.
Inizio Medical is part of Inizio, a global leader in healthcare communications. They help pharmaceutical and healthcare organizations turn complex science into meaningful impact through data, insights, and 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.
Analyze and assess risk by examining financial data, transaction patterns, and user behavior to identify fraud, credit, and compliance risks.
Develop and implement risk controls by partnering with product, engineering, and data science teams to build automated decisioning systems.
Contribute to strategic planning by providing insights on risk trends and policy improvements to support company growth.
Found builds tools to give self-employed people the security of big corporations through a business bank account that automates taxes and expense tracking. The company is a growing fintech startup with a diverse team, offering a collaborative culture focused on making a meaningful impact.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Build scalable Python-based data pipelines and backend services for analytics workflows.
Design software systems using object-oriented programming and sound engineering practices.
Create and support platforms for analytics development, model training, and model deployment.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide across markets like financial services, healthcare, and automotive. With a team of 25,200 people in 32 countries, Experian invests in advanced technologies and its people to unlock the power of data.
Develop state-of-the-art instruments and models to accelerate discovery of critical battery metals.
Work with an outstanding team of data scientists and geoscientists to integrate data and make predictions.
Design, deploy, and calibrate sensor systems and build predictive models for mineral exploration.
KoBold builds AI models for mineral exploration to find critical battery metals. It is the largest independent mineral exploration company and exploration technology developer, with a portfolio of 60+ projects and investors including major institutions and venture capital firms.