Develop large-scale datasets and machine-learned force fields for materials discovery.
Support the design and implementation of computational workflows simulating the reactivity and dynamics of catalytic materials.
Support catalyst discovery and optimization projects with industrial partners in the chemical and energy sectors.
SandboxAQ delivers AI solutions addressing world challenges using Large Quantitative Models (LQMs). They are a global, tech-focused team with experts in AI, chemistry, cybersecurity, and more, originating from Alphabet Inc. with growth capital backing.
Drive insight generation for complex projects and in collaboration with cross-functional teams.
Develop models of cost and quality in support of our navigation and match services.
Identify opportunities to better engage and navigate members to drive top quartile outcomes at bottom quartile costs.
Included Health delivers integrated virtual care and navigation. We break down barriers to provide high-quality care for every person in every community, offering guidance, advocacy, and access to personalized virtual and in-person care.
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.
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.
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.
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.
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.
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.
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.
Collaborate with customers and internal stakeholders to discover critical insights and build end-to-end data science solutions.
Take ownership of data science projects from problem definition to actionable deliverables and generalize insights into core products.
Partner with cross-functional teams to translate complex analyses into immediate customer value.
Shift5 builds the data platform for onboard operational technology (OT), delivering cybersecurity, predictive maintenance, and compliance for defense and commercial fleets. They are a fast-growing startup committed to building an inclusive culture and empowering employees to bring their full selves to work.
Partner with commercial, finance, and executive stakeholders to transform vague business questions into scoped analytical problems.
Design and run rigorous experimental analyses (e.g., Diff-in-Diff, propensity methods) to evaluate promotions and measure causal impact.
Architect and maintain large commercial datasets using SQL and dbt on BigQuery, and build predictive models for seven-figure decisions.
Juul Labs is on a mission to transition the world's billion adult smokers away from combustible cigarettes and combat underage usage. Backed by leading technology investors, they are a diverse team united by this purpose, hiring world-class engineers, scientists, and business professionals.
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.
Lead the team and oversee operating model, from project inception to evaluation and maintenance.
Partner with product and engineering teams across the Buyers Edge Platform organization to determine and deploy data science and AI applications.
Use proprietary and external data sources to build forecasting, anomaly detection, and decision-support capabilities.
Buyers Edge Platform revolutionizes the foodservice industry through technology, purchasing power and partnerships. With a diverse portfolio of over a dozen brands, they are dedicated to empowering stakeholders across the entire foodservice ecosystem with efficiency and unprecedented visibility.
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 data products end-to-end, delivering best-in-class outputs with a focus on accuracy, client value, and efficiency.
Tackle complex data problems using strong analytical judgment to refine methodologies and solve challenges with creative thinking.
Use AI and tooling to drive leverage, automating workflows while maintaining a high bar for correctness and quality.
YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points for investment funds and Fortune 500 companies. Recognized by Inc. as a Best Workplace for three consecutive years, the company operates globally with offices in the US, APAC, and India, emphasizing transparency, ownership, and continuous mastery.
Build and improve AI-native products and data-driven systems.
Rapidly prototype and iterate on AI-powered features.
Analyze, evaluate, and improve model outputs and system reliability.
FutureProofing is a talent platform focused on embedding high-caliber technical talent into startups building real AI-driven products. They work at the intersection of startup execution and real AI product development, helping companies build and improve production AI systems.
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.
Lead end-to-end technical delivery for client-facing scientific and AI-driven projects.
Design, build, and deploy scalable software systems that extend or wrap scientific models.
Act as a technical liaison between researchers, product teams, and engineering stakeholders.
This role sits at the intersection of advanced AI systems, scientific computing, and real-world drug discovery applications, where engineering directly enables breakthroughs in life sciences. The position requires strong autonomy and the ability to operate in highly ambiguous, research-driven environments where experimentation and execution go hand in hand.
Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
Build and maintain integrations between the matching engine and an existing program management platform.
Collaborate with SMEs to build, test, and refine user-configurable matching logic.
LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.
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.