Design data models that bridge the Fabric Lakehouse, Power BI semantic models, and reporting layers, ensuring consistency between raw, curated, and business-facing data. Implement data integration pipelines using Microsoft Fabric and other relevant tools to extract, transform, and load data from var
Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business. Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data fl
Contribute analysis and perspective that inform portfolio-level decisions, including explaining model behavior, tradeoffs, and uncertainty to senior technical and business leaders. Across our ecosystem, including Square and Cash App, we create tools that help businesses run and grow, and individuals
The Learning Center also works with a diverse portfolio of funders and partners - including Managed Care Plans, purchasers such as Covered California, and foundations including the California Healthcare Foundation and Blue Shield Foundation of California- to build Population Health Management (PHM)
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
Your work will feed ML models and data products that directly inform pricing strategy, supply growth, and product decisions for hundreds of millions of guests and hosts around the world. To strengthen our data foundation and unlock greater value from our data and machine learning models. Marketplace
Provide subject matter expertise in data modeling, ETL architecture, semantic layer design, and analytics lifecycle best practices to shape and transform data from D365 F&O and Azure Data Lake into optimized structures for enterprise analytics. Partner with IT, Data Engineering, and Infrastructure t
We are looking for a competitive and reliable Business Development Manager to help us develop our Business activities. You will be responsible for building a business by identifying and selling services; maintaining client relationships. Passion for Technology, Software Development, and SaaS.
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. The compensation offered for this role will be based on multiple factors such as lo
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. As a principal machine learning engine
Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Shape the data infrastructure to meet the quality, discoverability, and format requirements necessary for machine learning and AI models. Reporti
We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our business value and leadership has been recognized b
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. As a Data Scientist / Data Analyst / Data Science Specialist for Ad
Job Description: Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 10-12 years. Require a working knowledge of formal statistical analysis and causal modeling. Use Python or R to perform statistical and causal modeling; create visualizations.
Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. 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
This role demands a visionary leader with a proven track record in deploying AI/ML solutions at scale, strong technical expertise in machine learning algorithms, deep learning frameworks, and big data technologies, and excellent leadership, communication, and strategic thinking skills. The successfu
Adjunct Faculty (Data Science and Artificial Intelligence) NLC - req13794 To receive consideration for employment, you must upload transcript(s) and a Resume/CV. Experience in Machine Learning, supervised and unsupervised, including creation of small models for real-world purposes. Faculty members w
Applicants for the Head of Data Science and Advanced Analytics position at the company should hold an advanced degree in a quantitative field and have a minimum of 10-15 years' experience in advanced analytics, data science, and AI/ML research and development, preferably in the pharmaceutical or hea
PlatformDIGITAL, the company's global data center platform, provides customers with a secure data meeting place and a proven Pervasive Datacenter Architecture (PDx) methodology for powering innovation and managing Data Gravity challenges. Develop, track, and maintain key performance indicators (KPIs
Shepherd all client wins, ensuring a smooth transition into Implementation and Operations, act as a steward for good business and grow the client relationship by ensuring flawless execution. Expert at cultivating and maintaining relationships with decision makers in client organizations (Chief Execu