Top Remote Data & Analytics Jobs in San Francisco, CA
Develop and implement pricing strategies, lead cross-functional alignment, conduct business analytics and forecasting, manage planning and forecasting, optimize client campaign value.
_1.jpeg)
Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with various teams to integrate AI functionalities into Atlassian products and services. Responsibilities include designing system and model architectures, conducting experimentation, and guiding emerging ML engineers.
Seeking a Senior Machine Learning Engineering Manager to lead a team in creating and deploying cutting-edge machine learning models and algorithms. Responsible for AI modeling training, development of ML algorithms, and providing engineering support to accelerate AI feature development. Remote position based on the west coast of the United States.
Machine Learning Engineer specializing in NLP to join the Responsible AI team at Grammarly. Develop and implement new ML solutions to improve safety and fairness of Grammarly products.
Join Grammarly as a Machine Learning Engineer specializing in NLP to build new products and capabilities for Enterprise customers. Work with a high-performing team to apply ML to solve challenging problems and improve communication in customer organizations.
Featured Jobs
As a Senior Deal Desk Analyst at Clari, you will play a critical role in driving revenue processes by providing deal strategy, pricing guidance, and commercial expertise to support sales teams. This fully remote position requires strong communication skills, attention to detail, and the ability to work in a fast-paced environment.
The Staff Data Analyst will lead data-driven projects to optimize screening processes, collaborate with cross-functional teams, create dashboards, and provide strategic insights on compliance operations.
Senior Machine Learning Modeler responsible for detecting and reporting illegal and suspicious activity on Cash App using Machine Learning and Generative AI technologies. Leadership responsibilities include leading strategic roadmaps and priorities. Key tasks include facilitating ML based Customer Risk Rating, building classification models, leveraging diverse data sets, and deploying AI solutions to improve agent productivity.
Join PwC's Cybersecurity, Privacy, and Forensics team to tackle critical business and data protection challenges. Work on strategic programs, data analytics, innovation, cyber resilency, and technical activities. Assist clients in implementing governance controls to mitigate information risk and optimize information assets.
.png)
The Business Intelligence Analyst at Check will be responsible for developing and maintaining data models, extracting insights from data, and collaborating with various stakeholders to drive business impact through data-driven decision-making. The role involves working with key financial and business metrics, maintaining analytics infrastructure, and partnering with teams across the company.
Lead Data Scientist responsible for data science projects around consumer pricing, incentives & offers, and insurance. Providing mentorship, building forecasting systems, and supporting the technical roadmap to advance pricing projects.
Design, build, evaluate, deploy and iterate on large scale Machine Learning systems. Understand and optimize the user experience at all stages of the user journey. Work with Product, Design, Infra, and Frontend teams to bring models and features to life. Evaluate the performance of machine learning systems against business objectives.
The Senior Analyst of Fraud Analytics & Reporting is responsible for driving intelligence through analytics to drive Fraud Operations efficiency, efficacy, and control. This role involves leveraging data and analytics to gain insights, providing ad-hoc reporting, leading design and maintenance of Fraud Operations reporting, and collaborating with various teams to ensure fraud prevention excellence through process analytics and reporting.
_1.jpeg)
.png)
All Filters
No Results
No Results
