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You are results-driven and bring strong Architecture and engineering skills and a deep understanding of modern technologies including Cloud-native, APIs, AI, and ML. You will be a dedicated partner to senior Technology and Business leaders as you define a target state, roadmaps and identify new and
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
Proven proficiency in quantitative analysis, visualization, and modeling using statistical packages for analyzing large datasets (Advanced in Excel, Tableau, SPSS, SAS, QlikView or PowerBI, etc. Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data
You'll join a small, fast-moving team where your decisions shape the direction of our data and research capabilities. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. BigQuery, Dataflow/Beam, TFRecords.
The senior statistical programmer will gather and interpret user requirements for programming requests, retrieve required data, transform data into analysis/modeling datasets, and develop tables, listings and figures according to statistical/modeling analysis plan. Programming expertise with clinica
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. Underst
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
Contribute analysis and perspective that inform portfolio-level decisions, including explaining model behavior, tradeoffs, and uncertainty to senior technical and business leaders. Build, evaluate, and maintain underwriting and decisioning models across Cash App Borrow and Afterpay. Develop deep und
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. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate bu
Design and refine machine learning models tailored to the retail industry, enhancing our predictive capabilities and market understanding. We are seeking a visionary Senior Product Manager to lead our Machine Learning Operations initiatives, focusing on developing retail-specific models and a user
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. Continuously evaluate recent and upcom
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. Strong skills in scientific data analyses, modeling, visualization
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