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Top Remote Data Science Jobs in Washington DC,
The Data Scientist, Computer Vision at Sensei Ag will focus on creating machine learning models to automate greenhouse tasks. Responsibilities include collaborating with stakeholders to understand data needs, developing machine learning approaches, encoding algorithms into pipelines, and communicating insights effectively.
As a Senior Data Scientist at Pinterest, you will leverage your expertise in quantitative modeling and experimentation to tackle complex engineering challenges, collaborating cross-functionally to provide insights that enhance product development for millions of users.
As a Senior NLP Data Science Researcher, you will leverage advanced Generative AI and NLP methods for healthcare projects. Your responsibilities include optimizing NLP/LLM models, developing Python-based inference pipelines, and performing data analysis. Strong technical and communication skills are essential as you interact with clients and lead scientific publications.
As a Senior Data Scientist at Oscar, you will develop models and conduct analyses to enhance business operations. Your role involves collaborating with cross-functional teams, maintaining data pipelines, and applying advanced analytics to support Oscar's strategic goals. You may also manage data scientists and interact with business counterparts.
Manage a team of data scientists and machine learning engineers to develop AI products aimed at enhancing business performance. Translate data science outputs for wider business applications and establish data science capabilities across the organization.
As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
The Data Scientist will use data to inform team goals and influence business decisions, drive improvements in operational processes through data analysis, and explore statistical models to understand business dynamics. They will work with stakeholders to ensure data integrity and communicate results effectively.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
Top remote Companies in Washington DC, Hiring Data + Analytics Roles
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