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Top Hybrid Data Engineer Jobs in San Francisco, CA
As a Senior Director of Technical Program Management at Capital One, you will lead initiatives enhancing data management and machine learning capabilities. You will oversee complex technical projects, ensure delivery of solutions, and foster collaboration across teams. Your role involves shaping TPM practices while aligning projects with business objectives and mitigating technical risks.
As a Principal Data Scientist, you will lead the development of machine learning models, conduct research on emerging technologies, and collaborate with teams to enhance customer experiences and business outcomes at Capital One. You will also engage in data analysis and operationalize models for large-scale production systems.
The Senior Manager of Machine Learning Engineering at Capital One will lead a team to design, develop, implement, and optimize machine learning applications. This role involves collaborating with Product and Data Science teams, ensuring high performance of ML systems, constructing data pipelines, and managing code quality. The position focuses on adopting best practices in machine learning and delivering optimized solutions at scale.
The Data Architect is responsible for designing and implementing data architecture strategies that meet business needs. This includes developing data models, ETL/ELT pipelines, and cloud-based solutions. The role emphasizes collaboration with stakeholders to translate data requirements into technical solutions while ensuring compliance with governance policies.
As a Senior Manager Data Architect, you will design and develop robust data solutions, ensuring efficient data processing and analysis. You will lead teams, develop data architecture strategies, and implement cloud-based solutions while collaborating with stakeholders to meet client requirements.
The Senior Machine Learning Engineer will collaborate with product and marketing teams to personalize customer interactions on Cash App, building and deploying machine learning models within the personalization domain. They will manage projects related to recommendations, search retrieval, and cross-selling, aiming to improve user engagement and revenue.
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As Vice President, Client, Finance & Strategy Data Scientist Lead, you will leverage advanced analytics to inform strategic decisions, managing end-to-end data processes including requirements gathering, model creation, and data visualization. Your role involves interfacing with senior stakeholders and developing insights through techniques like predictive modeling and machine learning, while ensuring data integrity and compliance.
The Senior Machine Learning Engineer will build and deploy machine learning models for personalizing customer interactions in Cash App, partnering with product and marketing teams to enhance growth and engagement. Responsibilities include working with various ML algorithms and data analysis techniques to improve customer experiences.
As a Data Science Associate Consultant, you'll develop advanced algorithms, apply statistical techniques, and analyze data trends. You'll collaborate with clients, contribute to technology assessments, and mentor junior team members, driving impactful solutions and fostering innovation.
As a Staff Machine Learning Engineer at Cash App, you will build and integrate machine learning solutions to evaluate customer cash flow risk, support multiple products, optimize decisioning pipelines using AI/ML, and partner with cross-functional teams to leverage comprehensive customer data.
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The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.
As a Senior Machine Learning Engineer, you'll build and iterate ML infrastructure solutions, focusing on model development, deployment, and ensuring system reliability. Collaborating with team members, you'll drive MLOps initiatives and maintain frameworks critical to machine learning services, ensuring efficient and scalable solutions.
As a Principal Machine Learning Engineer, you will lead the development of recommendation systems for Disney's streaming platforms, collaborating with product and data science teams. You will research and optimize algorithms, manage stakeholder expectations, and help meet key performance indicators while setting the roadmap for personalization features.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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