Top Data Science Jobs in Washington DC,
The Data Scientist will develop the data analytic and research functions, build data operations systems, maintain ETL processes, and collaborate with technology and product teams to support organizational priorities. This role focuses on enhancing college admissions access and equity through data-driven insights and products.
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
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As a Data Science TLM Manager, you will shape Airbnb's search and personalization strategy by leading a team of data scientists, developing specialized models for the recommendation platform, and ensuring collaboration between the relevance team and product organization to enhance user experience.
The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.
The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.
The Data Science Manager will lead a high-performance team of data scientists to influence growth and user retention through actionable insights. Responsibilities include mentoring team members, driving data-driven decision-making, and collaborating with engineering and product teams to enhance user experience. The role also involves communicating complex findings to diverse stakeholders and fostering an inclusive team culture.
The Data/CQI Administrative Specialist will support data analysis, visualization, and continuous quality improvement on a national project for unaccompanied children. Responsibilities include assisting in system operations, data collection, trend identification, quality assurance, report development, and supporting project management tasks.
As a Senior Data Scientist at Phantom, you'll empower teams with data-driven insights, develop metrics to measure product impact, and work collaboratively with various stakeholders to influence product decisions. Your role will focus on analyzing large data sets, experiment design, and supporting the growth of the crypto wallet product.
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
Top Companies in Washington DC, Hiring Data + Analytics Roles
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