Top Hybrid Data & Analytics Jobs in San Francisco, CA
As a Principal Applied Scientist, you will lead the delivery of AI products, collaborate with ML engineers, improve data quality and usability, and engage in public-facing content to enhance Xero's profile. The role requires a focus on creating impactful, customer-facing ML and AI solutions while emphasizing high-quality code from the outset.
Fivetran aims to simplify access to customer data, making it readily available in warehouses without the need for engineering. They promote diversity, equity, inclusion, and offer great employee benefits. This role invites potential candidates to submit general applications.
As a Senior Data Engineer at Unity Ads, you will design and develop data pipelines and analytics products, collaborating with BI teams and stakeholders. You will ensure data quality and governance while leveraging cloud platforms and big data technologies. Proficient in Python and SQL, you will work across cross-functional teams to meet business objectives with scalable data solutions.
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As a Software Engineer, Data, you will build core data infrastructure for acquiring, preprocessing, cleaning, and labeling multimodal datasets for model training, enhancing the quality of the models. You'll be leading teams, managing projects, and working closely with data vendors to improve video understanding systems.
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Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
Develop unique capabilities and applications using advanced machine learning techniques, conduct experiments, optimize algorithms, analyze datasets, and stay up-to-date with latest research in generative AI & ML.
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The Data Scientist II role focuses on analyzing data to enhance Tinder's recommendation algorithms and improve user engagement. Responsibilities include A/B testing, designing experiments, building forecasting models, and reporting insights to influence strategic decisions across product, marketing, and engineering teams.
As a Senior Data Engineer at AngelList, you will design, build, and maintain scalable ETL/ELT pipelines, optimize data storage solutions, ensure data availability, and collaborate with stakeholders on data needs. You will also work on data architecture strategies and implement data governance policies.
The Communications Analyst role involves conducting research and analysis to provide insights for clients, monitoring media discussions, and contributing to strategic discussions. Analysts produce written content and participate in project management to ensure timely delivery of client services.
Seeking an experienced Senior Data Engineer to lead the design, development, and management of scalable data pipelines and architecture for a cell therapy manufacturing platform. Responsibilities include data pipeline implementation, collaboration with cross-functional teams, data preprocessing for machine learning models, and documentation of processes. Requirements include a Bachelor's or Master's degree in Computer Science, 6+ years of data engineering experience, proficiency in Azure services, programming skills in Python or C#, and experience in data visualization tools and data governance.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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