Develop and implement data science strategies to enhance ML models for lead scoring, churn, pricing, personalization, and fraud detection.
Collaborate with engineering and business stakeholders to drive end-to-end data science initiatives from data to deployment.
Communicate findings clearly to technical and non-technical audiences for business impact.
Engine is an AI-native platform for intelligent travel, powering modern business travel with proprietary technology and supply. Serving 40,000+ customers and nearly 2 million travelers, it is recognized as a Best Place to Work with an ambitious, high-ownership culture.
Build and spearhead Mercury's enterprise data and AI governance program.
Establish practical standards for data and AI ownership, development, use, protection, and monitoring.
Partner with Data, Engineering, Product, Legal, Compliance, and Information Security teams to embed responsible AI practices.
Mercury is a fintech company that provides banking services to businesses through partner banks. It is a fast-moving, equal opportunity employer that values diversity and belonging.
Design, develop, and scale machine learning models and advanced analytics solutions to improve healthcare provider data quality and generate network insights.
Apply statistical modeling, predictive analytics, NLP, and anomaly detection to solve complex, open-ended business problems.
Partner with Engineering to productionize models, use LLM tools, and translate findings into clear business value for stakeholders.
Quest Analytics provides healthcare provider network management tools, with models and insights that improve the accuracy, adequacy, and accessibility of healthcare provider networks. For more than 20 years, 90% of America's health plans have used their solutions, and they foster an entrepreneurial culture with workplace flexibility.
Develop analytical solutions using Python, SQL, and ML for workforce management.
Work with HR and timekeeping data to detect patterns and anomalies.
Collaborate with IT and business stakeholders on AI-driven initiatives.
The company leverages data science and AI to improve workforce management and operational efficiency. It offers a fully remote, innovation-focused environment and is open to people with disabilities.
Develop and deploy statistical and machine learning solutions for a major U.S.-based e-commerce retailer.
Collaborate with project leadership, data specialists, and engineering teams to translate business challenges into analytical models.
Drive end-to-end data science projects from data exploration and feature engineering through predictive modeling and production deployment.
The company is a technology consultancy that delivers data science and machine learning solutions to clients. It is a growing, fully remote organization that values continuous learning and professional growth.
Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation.
Own projects end-to-end across search, AI, instant answers, and revenue optimization.
Build monitoring pipelines, evaluation datasets, and trigger systems that balance quality and privacy.
DuckDuckGo is an online protection company raising the standard of trust online through private search, browser, and AI products. Founded in 2008 and profitable since 2014, the remote-first team of 300+ emphasizes trust, inclusivity, and empowered project management.
Collaborate with Data Science teams to deploy and maintain machine learning models in production environments.
Build robust data processing pipelines and implement MLOps and LLMOps best practices for scalable AI solutions.
Work with cloud technologies, big data platforms, and machine learning frameworks to deliver innovative technical solutions.
The company specializes in data and technology services, helping transform machine learning solutions into production-ready systems. It is an established international organization with a collaborative, inclusive culture and a strong emphasis on continuous learning and career growth.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.
Own the design and delivery of data engineering and clinical NLP pipelines that transform structured and unstructured EMR data into standardized clinical data.
Develop hybrid approaches using rules, dictionaries, deep learning, and LLMs for clinical entity extraction, normalization, and context interpretation.
Partner with clinicians to define schemas, validate OMOP CDM mappings, and ensure production reliability for transplant-focused data.
CareDx is a precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy through molecular diagnostics, digital health solutions, and AI-powered analytics. The company fosters a collaborative culture where every employee contributes to innovations that transform patient care.
Lead the design and implementation of scalable, production-grade Machine Learning systems in cloud environments.
Architect end-to-end ML solutions from data ingestion to deployment and monitoring, managing containerized workloads with Docker and Kubernetes.
Oversee large-scale data pipelines, drive model improvement, and provide technical leadership across ML initiatives.
Coforge is a global IT services company that delivers digital transformation and technology solutions. It focuses on hiring based on skills and qualifications, promoting an inclusive work culture.