Top Remote Data Science Jobs in Baltimore, MD
Develop and deploy advanced data science models using LLMs, GPT, and RAG. Utilize deep learning techniques to drive business growth and enhance functionality on the platform. Communicate findings to stakeholders.
The Senior Revenue Operations Analyst will execute commission runs, provide data-driven insights to the GTM team, refine Salesforce workflows, collaborate with engineering on integrations, oversee automated email workflows, and maintain GTM process documentation.
The Senior Data Scientist at Cohere Health is responsible for conducting data analysis to support product and leadership decisions, exploring healthcare and product usage data, and developing models to evaluate the impact of health outcomes. They will collaborate with teams to develop project requirements, present data-driven insights, and propose strategies to enhance healthcare services.
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The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.
As a Data Scientist, you will lead research projects from ideation to implementation, applying mathematical and technical concepts to solve problems in finance, gaming, and blockchain. Collaborating across teams, you will design data models, ensure data integrity, and develop advanced algorithms while documenting processes and results for knowledge sharing.
As a Senior Data Scientist, you will develop and enhance software solutions for short-term rental hosts using machine learning and data analysis to improve decision making, optimize pricing, and enhance guest experiences. You'll collaborate with cross-functional teams to define product requirements and ensure effective delivery of insights-driven tools.
The Outcomes Research Data Scientist will analyze Tempus data for real-world evidence (RWE) studies, interpret results, communicate findings, collaborate with various teams to enhance data quality, and ensure compliance with regulations. Candidates should possess experience in oncology, biostatistics, and handling observational healthcare data.
The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.
As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.
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The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.
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