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Top Remote Data & Analytics Jobs in San Francisco Bay Area, CA
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As a Senior Data Engineer at Iterable, you will own and optimize data pipelines for their machine learning platform, ensure effective handling of unstructured data, design ML systems, and collaborate with engineering teams to enhance data quality and infrastructure.
The Insights & Planning Analyst will focus on data analytics, identifying process vulnerabilities, and optimizing business recommendations. Responsibilities include building data sets, working with business partners to enhance metrics, developing visualizations, and presenting actionable insights.
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The Workday Business Systems Analyst will manage Workday configurations, gather and analyze business requirements, design and implement technology solutions, maintain user documentation, and provide technical support. The role also includes building reports and dashboards while collaborating with multi-functional teams to align with business needs.
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The Quantitative Scientist will work closely with clinical data to solve complex real-world problems in healthcare. Responsibilities include data cleaning, modeling, inference, and interpretation to support commercial projects, leveraging real-world data across therapeutic areas like urology and ophthalmology.
The Senior Data Engineer at Carrum will develop and maintain data solutions, manage healthcare datasets, collaborate with teams to optimize data use, and ensure compliance. They will build infrastructure for data products and influence the technical direction of the company's data operations.
Lead research projects in drug discovery, focusing on real-world data studies. Collaborate with interdisciplinary teams, design observational studies, implement project plans, and translate research into actionable insights using advanced computational methods. Manage complex projects and utilize technical skills to solve challenges while ensuring stakeholder engagement.
As a software engineer focused on machine learning, you will work on deep learning research, contribute to data pipelines, develop infrastructure for experimentation, and collaborate with engineers to enhance model performance. Your work aims to improve machine intelligence through code generation and rigorous experiments.
As an AI/ML Scientist at Helix, you will lead research on AI and machine learning applications in healthcare, develop models to analyze diverse healthcare data, and collaborate with teams to integrate AI solutions into products. Responsibilities include creating methodologies to assess patient trajectories, evolving ML infrastructure, and publishing findings.
As a Staff Data Scientist at Pinterest, you will enhance the Notifications strategy through analysis, develop measurement frameworks, identify growth opportunities, and improve machine learning models. You will mentor other data scientists and lead impactful projects while collaborating with product, engineering, and leadership teams.
As a Senior Data Engineer II at Cruise, you will architect and automate the data processing lifecycle on GCP, collaborating with cross-functional partners to meet requirements. Responsibilities include building data pipelines, performing data analysis, and mentoring junior team members to drive data-driven business decisions.
Top Remote Companies in San Francisco Bay Area, CA Hiring Data + Analytics Roles
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