You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into a production environment, ideally as part of product teams delivering to external customers. You are comfortable working in modern cloud data warehouses with SQL to prepare dat
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
Machine Learning Data Scientists. Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting. Ability to use Python/PySpark for exploratory data analysis and modeling.
Remove extra metadata from the top of the page.
As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/
Job Description: Title: Machine Learning/Computer Vision Research Scientist Job Location: 2535 Augustine Drive, 3rd Floor, Santa Clara, CA 95054 Duties: Research and implement advanced deep learning models for custom computer vision tasks, including object detection, identification, tracking, an
This hybrid role requires expertise in SQL and Databricks to enhance financial dashboards and reporting processes. Adobe is seeking a highly analytical finance professional in San Jose to support financial forecasting, reporting, and data ownership.
This role is critical in delivering data-driven insights to improve business performance, budgeting, and forecasting. The ideal candidate should have 2-4 years of experience in finance, possess strong analytical capabilities and communication skills, and be proficient in tools like Excel and SQL. Fi
Depth of technical understanding in cloud, big-data platforms and machine learning. EPM, Applied Machine Learning, AI & Data Platforms (AiDP). Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications.
Design and implement marketing mix models and causal inference pipelines that quantify marketing effectiveness and inform budget allocation and execute incrementality tests translating complex results into concrete actionable campaign advanced ML techniques such as segmentation propensity modeling
Minimum 5 years of experience as a project manager in relevant fields such as data science, semiconductor, manufacturing, or metrology. Quick learning and adaptability to new areas. Relevant education, such as a major in Data Science, Business Analytics, or Computer Science.