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Top Remote Data Science Jobs in Washington DC,
The Sr. Data Scientist at DataRobot will act as a trusted advisor on AI for US Federal Government entities. Responsibilities include leading technical engagements, demonstrating the DataRobot product, and collaborating with customers to implement AI solutions that drive business value. The role requires expertise in machine learning and strong customer-facing skills.
The Senior Data Scientist leads data science projects at MCA Connect, working with clients to implement advanced analytics strategies and build predictive models, while mentoring junior team members and driving innovation within the Manufacturing Intelligence team.
As a Senior Data Scientist, you will lead efforts in measurement and metrics design, experimentation, and causal analyses. You will collaborate with cross-functional teams to drive product improvements and mentor junior data scientists. The position requires expertise in data science and strong technical communication skills to present insights to stakeholders.
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As a Data Scientist at Pacaso, you will support Advanced Analytics initiatives, bringing customer insights to various teams. Responsibilities include data acquisition and cleansing, operationalizing performance metrics, communicating analyses, designing experiments, and building predictive models for customer segments.
As an Associate Principal Engineer in Data Science, the role involves writing and reviewing high-quality code, translating business requirements into technical designs, guiding and mentoring team members, ensuring adherence to best practices, and developing architecture for applications. Interaction with clients to identify solutions and perform POCs for technology validation are key responsibilities.
The Senior Staff Engineer in Data Science is responsible for writing and reviewing high-quality code, designing technical solutions for client needs, mentoring team members, and ensuring best practices in software architecture and design. They should possess strong data science skills, including data analysis, SQL, and expertise in machine learning and cloud technologies.
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 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 Senior Data Scientist at 6sense is responsible for leading the design and development of AI solutions to address complex business problems. The role involves utilizing advanced machine learning and deep learning techniques, collaborating with stakeholders, and ensuring alignment with business objectives while continuously adapting to technological advancements.
The Senior Data Scientist will develop predictive models using machine learning and statistical methods on data collected from 3D sources, leveraging tools like Python and AWS. Responsibilities include preparing data, performing iterative solutions, and working collaboratively in a dynamic team.
The Senior Data Scientist will lead the design and development of personal auto insurance pricing models, drive feature engineering for telematics data, mentor junior data scientists, and collaborate across teams to translate models into real-world applications while advocating for data-driven strategies within the organization.
The Senior Data Scientist will drive complex projects focused on machine learning, providing insights, developing predictive models, and implementing innovative solutions for products. Responsibilities include building scalable ML infrastructure, collaborating with teams, and mentoring juniors while ensuring performance optimization and compliance with MLOps practices.
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