Seeking a skilled Sr. Data Engineer to join our dynamic team who will be responsible for designing, developing, and maintaining our data pipelines, integrations, and data warehouse infrastructure. The successful candidate will work closely with data scientists, analysts, and business stakeholders to ensure that our data is accurate, secure, and accessible for all users.
There are three subject areas to choose from for your thesis: Development and training of an ML Model to parse industry-specific documents as entrypoint for an RAG pipeline; Development of custom parsing and chunking tools for industry-specific documents and their ingestion into a vector database; Training and/or fine-tuning of a custom LLM model for use-case specific usages within the scope of smart hydraulic services.
AG1 is looking for a Data Scientist with a strong foundation in experimentation and machine learning to join their growing Data Science & Analytics team. This role will work across the full spectrum of applied data science, from shaping hypotheses and designing A/B tests, to building models and tools that scale the impact of insights. The Data Scientist will play a key part in surfacing actionable insights that drive customer acquisition, retention, lifetime value, and operational efficiency.
Shape the future of AI by training large-scale language models in computer science, software engineering, and related topics. Challenge models, verify accuracy, and suggest improvements in areas like object-oriented programming, Git, API design, and data pipelines. Document failure modes and contribute to prompt engineering and evaluation metrics.
This role involves collaborating to enhance Sift’s data science, ML Ops, and advanced analytics infrastructure, techniques, and practices. The Lead Data Scientist will improve and enhance Sift’s suite of predictive models and operations that work to solve complex healthcare payment problems, present findings to upper management, and mentor team members.
As an AI/ML Engineer, you’ll help design, build, and deploy machine learning models that improve how Veterans interact with digital services like VA.gov. You’ll collaborate with product managers, data scientists, and engineering teams to support initiatives such as intelligent routing for support requests, personalized content delivery, anomaly detection, and natural language processing for virtual agents.
The SAP Master Data Analyst is responsible for managing e.l.f.’s data assets and ensuring their quality and usefulness. The SAP Data Steward will partner with Operations, Supply Chain, and IT to ensure data accuracy in downstream systems and root cause source data issues. They are responsible for ensuring that the organization's data is accurate, current, usable, accessible, safe, and trusted throughout its lifecycle.
The Data Scientist uncovers insights, supports decision-making, and contributes to the success of various business initiatives in Technology Credit Union’s (Tech CU’s) Data Management and Analytics (DMA) team. This role collaborates with cross-functional teams to deliver impactful analysis and recommendations that drive performance and growth.
As a Data Scientist at the Experian Innovation Lab, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. You will report into the VP of Data Science.
We're on the lookout for a Machine Learning Engineer to spearhead the evolution of our device intelligence and fingerprinting systems. This is a chance to lead groundbreaking projects that directly combat fraud and enhance security for millions. You will design and refine backend services using Go (Golang) to process and analyze device data, ensuring robustness and scalability.