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 evaluation framework and quality strategy for advanced AI and vision systems, defining pass/fail metrics and data validation loops.
Lead artifact auditing, failure taxonomy development, and release-quality reporting to translate model behavior into product decisions.
Partner with model, simulation, and platform owners to drive quality improvements and production-readiness decisions.
HERE Technologies is a location data and technology platform company that empowers customers to improve outcomes from city infrastructure to driver safety. With a global team and a focus on innovation and inclusion, they foster a collaborative culture dedicated to positive change.
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.
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.
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.
Identify and own challenging problems, form testable hypotheses, and drive significant business impact.
Lead the design and analysis of experiments or development of causal and predictive models to test your ideas.
Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams.
Yelp operates a platform connecting users with local businesses through user-contributed content. As a large company with millions of users and listings, it fosters a cooperative culture that values individual authenticity and encourages creative solutions.
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.
Develop data-driven solutions that power delivery planning, operational efficiency, and customer promise accuracy across multiple markets.
Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle from research to production.
Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve delivery operations.
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies, with over 500 beer brands. The BEES AI organization drives data science and machine learning strategy across logistics, operations, and customer-facing products, building end-to-end intelligent systems that optimize how goods move through our network at global scale.
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.
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.
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.
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.
Resolve technical challenges and ensure team adoption of new tool enhancements.
Ensure high-quality data setup for multiple markets and address client concerns.
Collaborate with partners to improve data quality and drive process improvements.
NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior. With operations in 100+ markets and over 90% of the world's population covered, NIQ is an Advent International portfolio company committed to an inclusive culture.
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.
Design, build, and scale systems for customer-facing data products and machine learning workloads.
Collaborate with product, engineering, and cross-functional partners on complex data challenges.
Implement data quality, observability, and governance frameworks for reliable data at scale.
Boulevard provides the first and only client experience platform for appointment-based self-care businesses. The company has an insatiable curiosity and embraces experimentation, with a diverse team that values open communication and equal opportunity.
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.
Build and productionize ML-driven systems for personalization, search, and recommendation to drive business impact.
Utilize advanced algorithms and data mining to optimize product recommendations and improve conversion rates.
Develop AI/ML systems across search ranking, recommendation, and content intelligence to enhance user growth and outcomes.
Sporty is a remote-first company focused on delivering personalized and data-driven experiences in the gaming industry. They are a global team pursuing sustainability with a competitive salary and quarterly performance bonuses.
Lead and develop a multi-team data science organization responsible for complex modeling components for pricing and underwriting.
Partner with Product Design, Product Management, Underwriting, and other stakeholders to align data science work with business priorities.
Oversee the development, validation, and implementation of pricing and underwriting model components while managing governance and risk.
Liberty Mutual is a global insurer offering a range of insurance products and services. They employ thousands and emphasize an inclusive culture, workplace flexibility, and professional development supported by Employee Resource Groups.
Partner with cross-functional teams to define high-impact product questions, success metrics, and decision frameworks.
Analyze user behavior, creator activity, and content ecosystems to identify opportunities and risks.
Design and analyze experiments, including A/B tests and causal measurement, to evaluate product launches and strategic initiatives.
VRChat offers a first-of-its-kind, game-changing platform that provides an endless collection of social VR experiences and gives the power of creation to its robust community. The company has raised around $100M to date and its team includes people from Netflix, Twitter, Meta, Microsoft, Roblox, Google, Amazon, Unity, Spotify, Discord, Uber, eBay, Robinhood, Twitch, Zynga and TikTok.