Top Remote Data Science Jobs

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.

As a Senior Data Scientist, you will develop fraud detection models, research new fraud types, maintain data quality, and write production code while collaborating across teams. This role requires deep domain expertise and the ability to drive product development and provide analytical insights to enhance sales and marketing efforts.

The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.

As a Data Scientist II, you will analyze large healthcare datasets, build and optimize machine learning models, and develop algorithms for workflow optimization. You'll collaborate with engineers and product managers, communicate insights through visualizations, and contribute to innovative solutions that enhance operational intelligence in healthcare revenue cycle management.

As a Data Scientist at Gauntlet, you will conduct research to improve the safety and efficiency of DeFi protocols through data analysis and mechanism design. You will manage client engagements, produce public-facing research, and create visual dashboards to effectively communicate insights derived from complex datasets.

As a Senior Data Scientist, you will drive the success of product areas at Reddit through data analyses, experimentation, and metrics design. Tasks include collaborating with cross-functional teams, leading data collection and quality improvement efforts, and influencing product strategy based on insights.

The Senior Data Scientist at 6sense is responsible for leading the design and development of AI solutions to address complex business problems. The role involves utilizing advanced machine learning and deep learning techniques, collaborating with stakeholders, and ensuring alignment with business objectives while continuously adapting to technological advancements.

As a Data Scientist at Pinterest, you will utilize quantitative modeling and statistical methods to solve complex engineering challenges. Collaborating with cross-functional teams, you'll develop best practices for experimentation, build analysis pipelines, and provide crucial insights that influence product development.