Top Remote Data Science Jobs

As a Data Scientist at Fors Marsh, you will support research efforts by collaborating on analysis plans, managing datasets, preparing reports, and ensuring quality control of quantitative research. Your role will also involve contributing to business development and participating in project meetings.

As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.

The Staff Data Scientist will drive improvements in brand marketing measurement and develop insights for optimized campaign planning. Responsibilities include applying causal inference techniques, designing experiments for digital marketing effectiveness, leveraging machine learning to analyze user behavior, and collaborating with stakeholders to enhance marketing strategies.

The Senior Data Scientist will build predictive and optimization models to enhance internal business operations and financial health. Responsibilities include developing models for customer revenue prediction, implementing time series forecasting, and collaborating with data engineers to implement ML algorithms. The role requires proficiency in statistics, data structures, and machine learning.

As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.

As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.

The Senior Data Scientist at Constellation will develop innovative data science solutions, explore complex datasets, build advanced ML models, and mentor junior team members. Responsibilities include translating business requirements into actionable data science strategies, collaborating with cross-functional teams, and managing data visualization, ETL processes, and code repositories.

The Sr. Data Scientist at DataRobot will act as a trusted advisor on AI for US Federal Government entities. Responsibilities include leading technical engagements, demonstrating the DataRobot product, and collaborating with customers to implement AI solutions that drive business value. The role requires expertise in machine learning and strong customer-facing skills.

As a Senior Data Scientist at OM1, you will develop AI solutions for healthcare applications using multimodal datasets, manage independent projects, handle large datasets, and communicate performance metrics to stakeholders. You should have strong machine learning and natural language processing expertise, along with a proficiency in Python and various data science packages.

The Data Scientist will analyze large datasets, develop predictive models, and provide insights to drive business decisions. Responsibilities include trend analysis, model development, and collaboration with product and engineering teams to enhance platform accuracy.

As a Data Scientist at LeaseLock, you'll develop machine learning models to predict property risk, deliver data-driven strategies, and ensure data consistency for enhanced analytics. You will work independently on impactful projects that align with business needs.

The Senior Data Scientist will develop and deploy machine learning models, optimize workflows for automation, collaborate with cross-functional teams to enhance reporting solutions, and ensure data integrity in AI/automation projects. The role focuses on generating predictive analytics and staying updated with AI/ML advancements.

The Data Scientist Senior is responsible for developing methods and systems to analyze complex data sources for business insights. Duties include leading data automation projects, building statistical and machine-learning models, and refining them based on performance metrics. The role involves collaboration with stakeholders, mentoring less experienced staff, and ensuring compliance with risk management standards.

As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.

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.