Top Remote Data Science Jobs in Baltimore, MD

The Senior Healthcare Data Scientist will develop data-driven algorithms for care navigation and doctor ranking using healthcare economic insights. Responsibilities include analyzing data and conducting qualitative research to enhance understanding of doctor performance and drive better healthcare outcomes.

The Senior Data Scientist will leverage data to drive product and business decisions, analyze experiments, and work collaboratively with cross-functional teams.

As a Data Scientist at Jellyfish, you will collaborate with cross-functional teams to develop innovative products using diverse data science techniques and improve core algorithms.

Lead the development of machine learning algorithms for advertising at Arity, focusing on optimizing the marketing platform using large datasets. Responsibilities include analyzing data, building predictive models, collaborating with cross-functional teams, and implementing best practices in data science to drive business results.

The Bilingual Data Conversion Specialist is responsible for managing data consulting activities associated with client projects, ensuring accuracy in data conversions, and creating key performance indicators. The role involves collaboration across teams to monitor product delivery and enhance data quality standards, while also acting as a subject matter expert in analytics tools.

The Research Scientist will focus on productionalizing and deploying machine learning models within the Personal Loans, Underwriting team. Responsibilities include building and maintaining risk evaluation models, collaborating with the Machine Learning team, and applying statistical and machine learning methods to improve Upstart's lending marketplace.

As a Senior Data Scientist at Iodine, you will leverage vast amounts of healthcare data using machine learning and statistical algorithms, collaborate with cross-functional teams, mentor junior staff, and conduct research on natural language processing. Your role will involve developing predictive insights, performing data analysis, and creating frameworks for data optimization.