Top Data & Analytics Jobs in San Luis Obispo, CA
The Senior Intelligence Analyst will track and analyze targeted intrusion cyber threats in various regions. They will collaborate across teams to produce intelligence reports, conduct briefings, and fill intelligence gaps through research and data analysis.
The Senior Intelligence Analyst will track targeted cyber intrusion activities of non-state adversaries, analyze intelligence data, provide detailed reports, and collaborate with cross-functional teams to assess trends and gaps in intelligence. The role involves research, proactive threat hunting, and communication of findings to both internal and external stakeholders.
The Commerce Analytics Specialist II will analyze customer and prospect data to identify improvements in the commerce business, developing strategies to optimize the demand funnel and enhance campaign performance. The role involves using analytical tools to extract insights, monitor program performance, and collaborate with stakeholders to execute effective go-to-market strategies.
As a Data Engineer, you will design and maintain data pipelines, ensuring data accessibility for data science and machine learning initiatives while collaborating with stakeholders and adhering to compliance standards. Responsibilities include developing scalable data systems, managing environments, and mentoring junior engineers.
As a Senior Deal Desk Analyst, you will partner with the Sales team to structure and execute Enterprise deals, enhance customer experience, and optimize revenue and profitability through advising on deal structures and standard commercial terms.
The Senior Deal Desk Analyst will collaborate with the Sales team to structure and execute Mid Market deals, ensuring revenue targets and compliance while optimizing customer experience. The role involves acting as a trusted advisor and working with various departments to develop commercial strategies that benefit customers and partners.
As a Staff Applied Scientist at Samsara, you will lead the design and implementation of AI product initiatives while working with petabyte-scale data. Your role involves developing both tactical and strategic AI solutions, collaborating across business units, and staying updated with industry research.
Featured Jobs
The Staff Applied Scientist will work on improving customer and service provider matching, building predictive models, characterizing marketplace dynamics, and managing monetization mechanics for Thumbtack's app. This role requires deep expertise in machine learning, statistics, and optimization to enhance user experiences and optimize marketing spending.
As a Senior Data Scientist on the customer growth team, you will analyze user behavior and product flow to influence product strategies, define success metrics, and conduct experiments. Collaborating with cross-functional teams, you'll drive data-informed decisions to enhance customer experiences and contribute to the company's data culture.
As a Senior Software Engineer in ML Infrastructure, you'll collaborate with various teams to enhance Thumbtack's machine learning capabilities, focusing on feature engineering, model monitoring, and deployment. You will help standardize processes and drive projects to completion while solving complex technical challenges.
The Senior Machine Learning Software Engineer will design, build, evaluate, deploy, and iterate on large-scale machine learning systems, collaborating with cross-functional teams to enhance user experience at Dropbox. Responsibilities include working with product, infrastructure, and evaluating ML system performance against business objectives.
.png)
The Senior Business Systems Analyst will conduct advanced analysis and support for NetSuite, WMS, and Salesforce applications, actively collaborating with stakeholders, managing service level metrics, handling project management tasks using a sprint structure, and delivering user training and documentation to enhance system performance and user experience.
.png)
As the Director of Data Science and Analytics at Mixbook, you will lead the analytics team, develop statistical models, oversee business analysis, and implement data-driven strategies to enhance business performance and growth in a fully remote environment.
The Machine Learning Engineer will work with Cash App's Risk ML team to develop solutions for identity verification, risk mitigation for the Cash Card product, and enhance deposit features. Key responsibilities include building and deploying ML solutions to improve customer identification, fraud detection, and financial management.
As a Staff Data Scientist in Acquisition Marketing, you will optimize marketing efforts by building models to ensure high ROI, analyzing A/B experiments, and working closely with marketing teams to understand the impact of campaigns. Your role involves creating dashboards, processing datasets, and utilizing statistical techniques to derive insights and inform strategic decisions.
Design, build, and maintain Machine Learning systems to flag fraudulent activities in real-time. Collaborate with global colleagues on challenging technical problems. Lead the conception and implementation of large-scale experiments to validate novel ideas. Apply latest theoretical advancements to enhance existing products and technologies. Conduct experiments across various computer science domains.
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
The Strategy & Development Analyst II at Affirm will guide high priority go-to-market initiatives, managing project rollouts and ensuring GTM readiness. Responsibilities include strategic decision-making, maintaining execution playbooks, and collaborating closely with stakeholders to monitor progress and address feedback.
The Analyst I, Fraud Strategy and Analytics will support fraud monitoring, detection, and mitigation efforts, research emerging fraud trends, and help enhance fraud detection systems through data analysis and collaboration with cross-functional teams.
The Senior Go-to-Market Analyst will collaborate with the marketing team to enhance lead management, develop reports, and provide strategic insights derived from data analysis. Responsibilities include measuring marketing effectiveness, optimizing attribution models, building dashboards, and presenting actionable intelligence to stakeholders.
Top Companies in San Luis Obispo, CA Hiring Data + Analytics Roles
See All
.png)
.jpeg)
All Filters
No Results
No Results
