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Lead a data science team at Signature Aviation while staying hands-on building ETL pipelines, machine learning models, and AI-driven analytics solutions using Python, SQL, and Databricks to improve aviation operations and business outcomes.
Develops AI/ML models and data science solutions for national security, space, and civil/commercial applications, focusing on scalable, mission-critical systems.
Leads data science initiatives to optimize customer journeys and anomaly detection in JPMorgan Chase’s branch channel, focusing on attribution modeling, causal inference, and cross-LOB recommendations. Manages a team of four and drives end-to-end delivery from strategy to production.
Lead end-to-end AI/ML development for payments, building generative and agentic systems on cloud infrastructure while ensuring scalable, secure, and compliant production deployment.
The Lead Data Scientist will develop and implement advanced machine learning and statistical models to analyze aftermarket data from connected equipment. This role involves leading cross-functional projects to drive business insights and requires expertise in Python and cloud-based analytics.
The Associate Data Scientist will work within Westpac's Data, Digital and AI team to analyze data, build model components, and support decision-making processes. The role involves using Python, SQL, and cloud-based tools like Azure ML to deliver responsible AI solutions in a regulated corporate environment.
Data Scientists at Westpac will develop and deploy machine learning models, including predictive, NLP, and GenAI solutions, within a hybrid cloud environment. The role involves owning the full lifecycle of data science use cases, from problem framing to production, while collaborating with engineering teams to deliver explainable and maintainable solutions.
Senior Data Scientist developing AI/ML, optimization, and control algorithms for Honeywell's building automation and energy management platforms using Python, MATLAB, and Spark, deployed as microservices to cloud and edge environments.
This is a summer 2027 Data Scientist internship at Mastercard, where the intern will work with the ONE Data Strategy team on data platform architecture, observability, and analytics. The role involves applying data engineering, machine learning, and visualization techniques to support enterprise data strategy.
The Specialist Data Scientist will deliver end-to-end analytical solutions and actionable insights for the Mass Foundation Cluster by leveraging statistical modeling, machine learning, and data visualization. The role involves collaborating with business partners to solve complex problems using tools like SQL, Python, R, and SAS.
The Senior Water Data Scientist leads technical research and develops AI-enabled monitoring frameworks to measure the impact of nature-based solutions on water security. The role involves synthesizing complex environmental data and collaborating with interdisciplinary teams to provide actionable, science-based recommendations for global water initiatives.
The Manager, Data Scientist will lead the development, productionization, and operationalization of clinical machine learning models using laboratory data. The role involves cross-functional collaboration to build robust, compliant healthcare AI products while mentoring the team on engineering standards.
Data Scientist Intern for the 2027 Summer Games program at Booz Allen, working in teams on complex multidimensional problems while developing technical skills in data analysis, visualization, and programming.
Data Scientist at Booz Allen in McLean, VA, developing predictive models, algorithms, and analytics using primarily R, with ML/AI/NLP knowledge to solve data challenges for public sector and government clients.
Summer intern participating in a startup-accelerator-style program, collaborating on a team to develop data-driven solutions for complex customer problems using data exploration, analysis, and visualization.
Data Scientist applying ML/AI to biologicals discovery for crop health, building predictive models that integrate genomic, metabolomic, and phenotypic data using Python, PyTorch, and deep learning.
Data Scientist owning analytical quality and integrity for Agilent's Global Manufacturing Control Tower, using Python, SQL, R, and BI tools to translate operational data into executive performance narratives, forecasts, and decision-support recommendations.
The Senior Data Scientist will transform operational data into actionable insights by developing dashboards and implementing GenAI solutions like RAG and structured extraction. The role involves end-to-end delivery, stakeholder management, and mentoring team members on data modeling and analytics standards.
Job Description As a Decision Support Data Scientist within the Manufacturing Analytics and Strategy Execution (MASE) team, you will contribute to the development and validation of high-quality insights that support…
The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and…
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