Top Remote Data Science Jobs

The Senior Data Science Engineer will develop, test, and productionize machine learning models, optimize data delivery processes, and build infrastructure for data extraction and analysis. Responsibilities include model performance testing, algorithm improvements, and collaboration with cross-functional teams.

The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

The Applied Data Science Associate program at DataRobot trains individuals to become Customer Facing Data Scientists, focusing on AI solutions for federal customers. Responsibilities include data preparation, model building, application development, and supporting customer engagements through the DataRobot platform after a structured training program.

The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.

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.

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.

Hiring Basketball Data Scientists to develop machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, model performance improvement, and collaboration with teams. Requires a Master's degree, expertise in Probability Theory and Machine Learning, and experience in SQL, Python, and AWS.