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. This critical role will lead the transformation of raw
Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data flowing across trading platforms, CRM, risk engines, payments, support, and marketing data. Maintain and improve data pipelines in Microsoft Fabric, including Dat
This is an ideal role for a self-starter who thrives in a fast-paced, entrepreneurial environment and enjoys building data solutions that drive meaningful business outcomes. This role collaborates across the business to identify analytic gaps, design scalable data models, and deliver high-impact das
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. You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into
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
We are looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building the state-of-the-art systems that power our global marketplace. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/dat
As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing w
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy. Expertise in databases, data infrastructure, data governance. Make significant and creative contributions
We are looking for a Staff MLE to lead the technical vision for our Ads Advanced Conversion Modeling team, building the state-of-the-art systems that power our global marketplace. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and
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
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. Applicants fo
Must possess a Bachelor's degree in Information Systems, Engineering, Computer Science, Business, Economics or related field required, & 5 years of work experience performing a combination of data analysis, data management, marketing analytics & modeling on internal & syndicated data sources. Respon
Analyzes business partners operations to understand their strengths and weaknesses to determine opportunities to automate processes and functions. Translates high level business requirements into functional specifications for the IT organization and manages changes to such specifications. Dashboard
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.