You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. Engineer features and conduct applied research across time-series, geospatial, demographic, insurance claims, and more datas
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
We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning mod
Research Artificial Intelligence. Remove any mention of posted date/time. Remove extra metadata from the top of the page.
Ability to use Python/PySpark for exploratory data analysis and modeling. Machine Learning Data Scientists. Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
Depth of technical understanding in cloud, big-data platforms and machine learning. Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications. EPM, Applied Machine Learning, AI & Data Platforms (AiDP).
Responsibilities Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final
Relevant education, such as a major in Data Science, Business Analytics, or Computer Science. Minimum 5 years of experience as a project manager in relevant fields such as data science, semiconductor, manufacturing, or metrology. Minimum 5 years of experience as a project manager in relevant fields