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Top Remote Senior Level Data Science Jobs in Washington DC,
The Lead Data Scientist will develop forecasting models and monitor revenue performance within Extend's Finance Analytics team. This role requires collaboration with senior leaders and cross-functional teams to identify revenue opportunities and improve financial planning. Key tasks include building data architecture for financial inputs and ensuring data integrity through effective governance.
As a Senior Data Scientist at VRChat, you'll collaborate with cross-functional teams to analyze product features and campaigns, conduct quantitative analyses, and deliver insights to drive strategic product decisions. You'll design metrics, perform root cause analyses, and create data visualizations, while leveraging your experience in data science to influence business outcomes in a remote work environment.
As a Staff Data Scientist at Invoca, you will lead the development and implementation of machine learning models and techniques, focusing on conversation intelligence and optimization for marketing and sales. This includes conducting research, mentoring team members, and creating efficient workflows for data curation while applying generative AI techniques and advanced algorithms.
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As a Senior Data Scientist at Amperon, you will implement data validation processes, build advanced time series forecasting models, create features to enhance forecasting accuracy, monitor model training, evaluate performance, and deploy models into production environments, all while analyzing energy consumption data.
The Associate Director, Aggregate Report Scientist manages the production of Aggregate Safety Reports, oversees quality compliance with global pharmacovigilance regulations, and collaborates with stakeholders. They identify process improvements and mentor staff, ensuring high-quality outputs and adherence to safety requirements.
The Staff Data Scientist will lead the design, development, and deployment of advanced AI models, collaborating with cross-functional teams to enhance autonomous endpoint management capabilities. Responsibilities include analyzing data patterns, developing machine learning algorithms, ensuring AI model guardrails, and optimizing model performance in real-world applications.
The Senior DBA is responsible for managing and maintaining the database infrastructure, ensuring high performance and availability, and collaborating across teams to implement new technologies. Key responsibilities include schema deployment, privilege management, monitoring systems, and enhancing database architecture for global expansion.
The Senior Staff Engineer - Data Scientist will support and develop products through data analysis, model development, and collaboration with stakeholders. This role involves creating statistical and optimization models, identifying trends in large datasets, and communicating insights to enhance business performance.
The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.
The Senior Staff Engineer - Data Scientist will perform data analysis on large datasets, develop and deploy optimization models, and communicate insights to stakeholders. They will work with engineering and product development teams to identify data sources and automate collection processes while engaging with business requirements.
The Senior Data Scientist leads the delivery of AI/ML solutions in healthcare, mentoring data scientists and overseeing key projects. Responsibilities include designing end-to-end AI/ML solutions, fostering professional growth in the team, and advocating for data-driven decision-making.
The Lead Research Scientist will drive initiatives to enhance healthcare delivery and outcomes by employing mathematical and data science methods. This involves collaborating with stakeholders to evaluate healthcare programs, transforming complex data into actionable insights, and making recommendations based on data analysis and clinical input.
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