Top Data Science Jobs in Washington DC
Design, develop, and program methods, processes, and systems to analyze big data sources and generate actionable insights. Collaborate with product and service teams to identify questions and issues for data analysis and experiments. Develop software programs, algorithms, and automated processes to cleanse and evaluate large datasets. Communicate insights and findings to stakeholders.
Deepgram is seeking an experienced Research Scientist to work on building models in the voice AI domain. The role involves developing accurate and performant voice AI models using deep learning techniques. The candidate should have experience in areas such as automatic speech recognition, text-to-speech, diarization and speaker identification, language detection, and code switching. They should also have expertise in speech data curation, neural network architectures for speech, distributed training, and model optimization.
Contribute to planning and execution of clinical trials in the lung cancer program. Develop leadership, technical skills, and scientific acumen as part of a global, cross-functional team. Responsible for clinical/scientific activities, supporting protocol development, and interacting with stakeholders. Minimum education: Bachelor's Degree +2 years or Master's Degree +1 year related experience.
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The Applied Research Scientist at ServiceNow's Advanced Technology Group will work on building next-generation Large Language Models for Enterprise Language Generation. Responsibilities include applying AI/ML expertise to solve real-world challenges, proposing appropriate models/techniques, collaborating with a team, and delivering high-quality solutions.
Seeking a Data Scientist to advance data science initiatives, conduct experiments, and develop data pipelines. Responsibilities include modeling user behavior, forecasting company growth, and driving data-driven insights and actions. Must have a Bachelor's degree in Data Science or related field.
Create and maintain dashboards, queries, and models to provide insight into the health of IoT products. Conduct exploratory analyses and collaborate with cross-functional teams to improve product performance and customer experience.
Seeking a senior data scientist to deliver data products and insights for game development and growth. Responsible for enabling data-driven decision-making and providing regular game health updates to partners and leadership teams.
The Principal Data Scientist - NLP at Capital One will lead a team in developing AI-powered products that revolutionize customer interactions with financial services. Responsibilities include leveraging NLP expertise, building ML and NLP models, and operationalizing them in scalable systems to serve millions of customers.
Join Arcadia's Analytics team to create high-value analytics for enterprise customers, utilize data models, and collaborate with various teams. Bring healthcare analytic experience and expertise to drive strategic decisions in improving healthcare delivery. Opportunity to work with diverse data sets and transform data for actionable insights.
Responsible for ensuring metrics consistency between operational teams and executive level business reporting. Collaborate on product and business problems, apply quantitative analysis to develop strategies, and measure the success of product efforts.
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