Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep. Work collaboratively with cross-functional partners
Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem. Use data and analytics to work collaboratively with customer leaders to understand business challenges and the competitive market landscape to design the desired future state
This role reports to the Chief Health Information Officer (CHIO) and will develop and oversee the data team which currently includes the Senior Manager of Data and Impact, Data Engineer, and multiple external contractors and consultants. To support our impact at scale, the Learning Center i
Our consultants bring deep expertise in Data Science, Machine Learning and AI. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting
Across our ecosystem, including Square and Cash App, we create tools that help businesses run and grow, and individuals move, manage, and grow their money with confidence. Build, evaluate, and maintain underwriting and decisioning models across Cash App Borrow and Afterpay. Develop deep understandin
Design data models that bridge the Fabric Lakehouse, Power BI semantic models, and reporting layers, ensuring consistency between raw, curated, and business-facing data. As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions le
Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Reporting and analytics products including designing dashboards for diverse stakeholders (executives, analysts, operational teams), implementing
You will design and ship predictive models and data products, improve the quality and interpretability of existing models, and deliver high-confidence, repeatable intelligence that fuels our MedTech-specific modules. We acquire terabytes of data from diverse sources and apply modern statistical and
Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorF
The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. Hands-on prototype, develop and produc
You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutio
Our consultants bring deep expertise in Data Science, Machine Learning and AI. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to