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Top Remote Data & Analytics Jobs in San Francisco, CA
The Senior Director of Data Science will lead a new division, driving its mission and growth. Responsibilities include building and managing a high-performing data science team, influencing strategic decisions through data analysis, and creating a data-informed culture focused on impact and execution.
The Senior Data Analyst at Vouch will build foundational data structures and models to support data-driven decision-making. Responsibilities include collaborating with stakeholders, developing dashboards and analytical frameworks, and leading data projects from discovery to post-launch, driving performance optimization, and clearly documenting data models.
As a Data Engineer at Headway, you will collaborate with teams to design and implement data pipelines, support infrastructure, and improve data processes to provide valuable business insights, enabling better mental healthcare access and affordability.
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The Analyst Relations Coordinator will manage analyst engagement, facilitate communication between Exabeam and industry analysts, and help represent Exabeam in key industry reports. Responsibilities include implementing engagement plans, collecting industry intelligence, and collaborating with internal teams to produce content that supports analyst engagements.
As a Data Scientist at Monte Carlo, you will design and implement machine learning algorithms, lead ML projects from concept to deployment, and tackle complex anomaly detection and prediction challenges in a collaborative startup environment.
The Real-Time Cloud Data Integration Engineer will design and develop integration solutions, ensuring data integrity and efficiency while interfacing with various cloud technologies, databases, and third-party providers. Responsibilities include troubleshooting complex queries, maintaining data quality, and collaborating with stakeholders to deliver scalable data solutions.
As a Data Analyst at RunPod, you will analyze large datasets to derive insights about user interaction, product performance, and operational efficiency. Responsibilities include optimizing user engagement, monitoring KPIs, collaborating with cross-functional teams, and presenting findings to senior management to drive data-informed decisions.
The Senior Strategic Analyst will lead product reliability analytics, building metrics, conducting root cause analysis, and collaborating with engineering teams. Responsibilities include defining key metrics, problem-solving using statistical methods, and presenting findings to executives.
Lead a team of data engineers to manage the creation and maintenance of foundational datasets for analytics and machine learning, overseeing project management and collaborating across global teams.
The Staff Data Scientist will enhance data labeling processes by leveraging data science and analytics, identify analytical opportunities for improvement, collaborate with platform customers, mentor other data scientists, and evolve the data strategy with product and engineering teams.
As the Senior Director of Data Science at Pinterest, you will lead a talented team focused on enhancing monetization strategies through data science initiatives, machine learning, and advanced analytics, while collaborating with cross-functional teams to align with business objectives.
The VP of Data and Engineering will define the strategy for the data engineering group and oversee the audio/video engineering teams while managing a large team. Responsibilities include managing technology evolution, providing roadmaps, and ensuring the infrastructure meets performance and storage requirements.
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