We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. You should be strong in core data scien
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. Work with large scale structured and u
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
Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, includin
Lead client and partner training sessions related to data specifications and reporting tools. This role collaborates across the business to identify analytic gaps, design scalable data models, and deliver high-impact dashboards and insights. You’ll develop new reporting solutions, optimize existin
Design data models that bridge the Fabric Lakehouse, Power BI semantic models, and reporting layers, ensuring consistency between raw, curated, and business-facing data. Optimize data models to support efficient data storage, retrieval, and analysis, ensuring data integrity, accuracy, and reliabilit
Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing
Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes. This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference.
Marketplaces Data and AI team work on components related to users, listings and marketplace which are foundational to Airbnb, and the quality of their data is critical to the success of our products and business. To strengthen our data foundation and unlock greater value from our data and machine le
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
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. You have 6+ years of experience in machine learning roles building and shipping sta
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
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. Contribute analysis and perspective that inform portfolio-level decisions, including explaining model behavior, tradeoffs, and u
Supports the development, quality, and growth of the AI program; builds and maintains relationships with industry partners to ensure alignment with workforce needs; collaborates with the Center for Workforce and Experiential Learning to identify and expand experiential learning opportunities such as
At least 2+ years of experience with Big Data & Analytics solutions Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies. At least 4+ years of working on data management domain wi
Automate reporting processes and improve efficiency using data tools and technologies* Collaborate with cross-functional teams (Risk, Finance, IT, Compliance) to gather requirements and deliver reporting solutions* Support regulatory reporting requirements and ensure adherence to applicable standard
The candidate should have over 10 years of experience in software development, with at least 6 years in Java and a minimum of 3 years in Big Data technologies like Hadoop. A staffing and recruitment agency is seeking a Big Data Senior Software Engineer in Phoenix, AZ. Responsibilities include softwa
Data Testing Coordinator – Regulatory Reporting & Data Validation (SQL/Python/Data Quality). Develop and execute testing strategies for regulatory reporting initiatives. Message and data rates may apply.
SKILLS & EXPERIENCEBachelors degree2+ years of experience with Workday, specifically data and reporting capabilitiesExperience loading Workday EIBs preferredExperience processing transactions within Workday preferred1+ year of experience writing SQL preferredHighly computer literate with capability