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, validate, and improve machine learning and statistical models used in BlueConduit's infrastructure analytics products.
Design validation approaches and communicate model uncertainty, limitations, and tradeoffs clearly to internal teams and customers.
Use modern AI coding tools such as Claude Code, Codex, or similar systems to accelerate development while applying strong independent programming judgment.
BlueConduit is an infrastructure analytics SaaS company and social enterprise that helps communities make better decisions about critical water infrastructure. We are a small, remote-first team committed to using data science for social good and building trusted tools for high-stakes infrastructure decisions.
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.
Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Drive end-to-end ML development for customer-facing SaaS products, from pipelines to production deployment and monitoring.
Design evaluation strategies and A/B tests to prove ML features improve customer outcomes and business impact.
Influence product roadmap by communicating ML capabilities and trade-offs to cross-functional teams.
WorkWave provides field service and logistics software solutions that help businesses manage their operations and serve their customers. They are a global company with a remote-first culture, recognized as a Best Place to Work and named among the top software companies worldwide.
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.
Drive data science initiatives with ML models for predictive maintenance, anomaly detection, and root cause analysis in manufacturing.
Build scalable cloud data pipelines for high-volume IoT data using Spark, Kafka, Airflow, and Delta Lake.
Apply statistical methods (time series, regression, clustering) and design experiments to validate process changes and quantify business impact.
Nagarro is a Digital Product Engineering company that builds products, services, and experiences. With over 17,000 experts across 39 countries, they foster a dynamic, non-hierarchical work culture and are scaling rapidly.
Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
Partner with engineering teams to operationalize MLOps practices and productionize models.
Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.
Set technical direction for core replenishment R&D and align it with product and business strategy.
Model complex problems such as inventory decay and demand forecasting, driving changes from research through production.
Lead research and development for new challenges and mentor scientists and engineers.
Afresh is an AI platform for grocery, empowering partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their enterprise. With over 200 million pounds of food waste prevented last year and a 70% revenue growth in 2025, it has scaled to 6 enterprise-grade solutions covering over 10% of the U.S. grocery market.
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.
Build, validate, and ship predictive models such as churn prediction, LTV forecasting, and propensity modeling end to end.
Own the full ML workflow from problem framing to production deployment and monitoring.
Partner with Product, Growth, Engineering, and Finance to turn model output into actionable recommendations.
OnHires is hiring on behalf of a remote-first B2C SaaS company with a subscription-based product that is building its data function from the ground up. The client operates under NDA at this stage, and it is a scale-up environment with a forming data team.
Deliver technical presentations and deep-dive demos, and support RFx responses with architecture designs.
Enable partners to drive Red Hat AI adoption through pipeline design, ecosystem adoption, and stakeholder alignment.
Collaborate with engineering teams, mentor junior members, and contribute to reusable technical assets.
Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. With associates spread across 40+ countries, Red Hat fosters an open and inclusive culture where creativity and collaboration are valued.
Perform manual testing of a web-based weather visualization platform, ensuring features such as radar layers, storm tracking, and forecasting tools function accurately.
Validate the correctness of meteorological data displays and log bugs, anomalies, and usability issues to development teams.
Collaborate with engineers to verify fixes and provide domain-informed feedback to improve weather data visualization.
This role combines quality assurance expertise with real-world meteorological understanding to help ensure the accuracy and reliability of a live weather visualization platform. The environment is highly dynamic, with opportunities to participate in live testing during active weather events, and values curiosity, precision, and a strong connection to real-world weather phenomena.
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.
Develop map test designs, metrics, and machine learning models to measure Map Quality using predictive analytics and statistical methods.
Design sampling plans for map quality evaluation and training data creation for ML models, and implement statistical quality metrics.
Collaborate with internal and external stakeholders, acting as a subject matter expert on statistical and experimental design methods.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes through innovative solutions. The company has a diverse international team of talented people from 60+ countries, working from tech hubs in Europe, the US, and Asia.
Develop advanced statistical and machine learning models to analyze and predict consumer sensory preferences across products, markets, and demographics.
Build Bayesian and hierarchical/mixed-effects models for latent harmonization of sensory datasets and translate panel data into probabilistic predictions.
Partner with research and client success teams to design effective consumer sensory studies and validate models for robustness and business relevance.
NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior. In 2023, NIQ combined with GfK, bringing together two industry leaders with unparalleled global reach and operations in over 100 markets.
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.
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.
Developing machine learning pipelines and custom analytics for image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data engineering and analytic pipelines
Envisioning, specifying, designing, and implementing core product functionality and conducting mission-critical fieldwork
Striveworks helps organizations harness AI to solve national security and business challenges by serving as a command center between data, models, and outcomes. Founded by data scientists and engineers, the company values a high-trust work environment with individual responsibility for collective results.
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.