Top Remote Senior Level Data & Analytics Jobs in San Francisco Bay Area
Lead a team of developers in designing, developing, testing, implementing, and supporting technical solutions using full-stack development tools and technologies. Collaborate with product managers, data analysts, and data scientists to deliver cloud-based data solutions. Provide technical and people leadership to drive sound and well-managed solutions in a fast-paced organization. Assist in defining and executing the data strategy vision.
Seeking a Senior Manager, Data Engineering at Capital One Software to lead a team in developing technical solutions using Java, Scala, Python, and cloud-based data warehousing services. Responsibilities include collaborating with Agile teams, providing technical and people leadership, and driving major transformation within the company.
Looking for an experienced Regulatory Examination Analyst to provide support to the Regulatory Team at a federally regulated financial institution. Responsibilities include managing examination requests, coordinating responses with various teams, and ensuring compliance with regulatory requirements.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-functional projects, maintain code quality, collaborate with teams, and contribute to the growth of development capabilities through mentoring.
Looking for a Data Scientist to join the Risk Data team at Square. Responsibilities include identifying and preventing fraud & credit risks, developing data pipelines, working with cross-functional teams, and influencing product roadmaps. Requires 5+ years of experience with SQL, Python, and Looker.
Part of a world-class Data Science team leveraging data to drive insights about products and customers. Responsible for analyzing customer engagement, identifying and measuring product success, and influencing product investments. Collaborate with cross-functional teams, apply technical expertise, develop hypotheses, test opportunities, and shape product development through data analysis and storytelling.
Seeking a Senior Data Scientist for Customer Analytics role with a focus on empowering a fast-growing company with data and analytical insight. Responsibilities include analyzing data, influencing strategic decisions, and supporting product development. Must have strong analytics, communication skills, and the ability to work independently.
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#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We're looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consisten...
The Business Analyst will drive the implementation of new quote-to-cash system functionality and enhancements to improve sales team productivity. They will collaborate with various teams to analyze processes, write user stories, and facilitate key meetings for system demos and training sessions.
As a Senior or Lead Big Data DevOps Engineer, responsible for setting up, scaling, and maintaining Big Data infrastructure and tools in private and public cloud environments. Drive efficiency improvements, lead architecture and design efforts, ensure availability and reliability of infrastructure, and build operational tools. Evaluate, design, and deploy monitoring tools and practices. On-call support of production systems.
Responsible for aligning client data strategies to their business strategy, choosing platforms, defining data needs, and migrating to modern cloud data environments. Lead efforts in creating trusting relationships with business stakeholders, developing digital accelerators, and leading business development efforts. Demonstrate thought leader-level abilities in designing and implementing data & analytics capabilities.
Seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and translate requirements into actionable solutions. Must have 5+ years of core data engineering experience and technical expertise in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.
As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving foundational Data services for AI and ML solutions. You will collaborate with AI Product Managers, engineers, and BUs to research, troubleshoot, and resolve data requests. The role requires a deep understanding of the NOW platform and the ability to address issues effectively and timely.
As a Senior Engineering Manager of Machine Learning at Dropbox, you will lead a team of engineers to build and scale Dash, one of Dropbox's AI offerings. Your responsibilities include driving product monetization, fostering a collaborative culture, providing strategic direction, and contributing to technical and product strategies. The ideal candidate has a strong background in software engineering, distributed systems, and backend infrastructure, as well as experience in machine learning. This is a senior-level position requiring 7+ years of software engineering experience and at least 3+ years in direct management roles.
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