Apply and develop advanced artificial intelligence and machine learning methods to analyze imaging and multi-omics data across diverse biomedical research areas, including cancer, aging, longevity, and neurodegenerative disorders. Collaborate closely with research faculty and Scientific Services to advance JAX’s strategic priorities. Process and harmonize multi-omics and imaging datasets and analyze them using existing bioinformatics or AI/ML tools and adapt methods as needed.
As a Senior Data Scientist, you’ll report to the Data Science Manager and work closely with both the Data Science and Engineering teams. You will play a crucial role in developing models for complex parts of our business, analyze large datasets, identify patterns, and develop a variety of model types. You’ll also contribute to the improvement and re-design of current models, collaborating with cross-functional teams to translate insights into actionable solutions.
We're looking for a creative Data Scientist to join Experian Automotive and shape the future of data-driven decision-making. You'll design and implement advanced analytics solutions, standardize and automate data processes, and develop statistical, machine learning, and forecasting models that power business intelligence and client insights.
Looking for AI Data Specialists to support the improvement of AI-generated content in Croatian. The role involves performing diverse data-related tasks, including data collection, evaluation, and annotation, pairwise comparisons, counting tasks, and object tagging and labeling across different content types (audio, video, images, or collected data).
Contribute to novel research by designing and building massive scale deep learning systems focusing on modularity, composability, verifiability, and continual learning. Responsibilities include pursuing novel research, partnering with researchers and production engineers to design and run novel experiments, and owning and maintaining experimental frameworks and test benchmarks for ML research in uniquely high-scale and decentralised settings. You will follow best practices - building in the open with a keen focus on designing, testing, and documenting your code.
The role involves performing diverse data-related tasks, including data collection, evaluation, and annotation, pairwise comparisons, counting tasks and object tagging and labeling across different content types such as audio, video, images, or collected data. Native-level fluency in Hebrew and fluent or advanced proficiency in English is required.
As a Senior Data Scientist on Lime’s Rider DSA team, you will play a critical role in helping us understand our riders and uncover the drivers of retention. You’ll focus on experimentation, product analytics, and data deep-dives that surface actionable insights for product and business teams. Partnering with Product, Engineering, and Operations, you’ll help shape strategy on initiatives like early-funnel adoption, second-month retention, and loyalty programs.
Lead the Data Science and Analytics - Supply team in enhancing vehicle positioning, demand forecasting, and fleet health. This role will drive data science initiatives that optimize vehicle supply, rider experience, and operational efficiency through machine learning, optimization, and experimentation. You will work cross-functionally with Product, Engineering, and Operations, ensuring Lime's fleet is positioned where and when riders need it most.
Build a high-impact Talent Pool for advanced analytics, AI, and enterprise data platforms if you’re a LATAM-based Data Scientist with strong English. Solve complex problems using Python, R, SQL, Machine Learning, statistical modeling, forecasting, and cloud-based data ecosystems. The ideal candidate will have experience building predictive/prescriptive models, strong communication skills in English, and a passion for experimentation.
As a Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI experience, and analytic consulting skills to lead client and internal engagements for Experian's new global product launch and early client success efforts. You will collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data (AWS) computing platform.