Top Remote Data Science Jobs

The job involves developing and implementing analytical methods for large datasets, making data-driven conclusions, and communicating technical information effectively to diverse audiences.

The Data Scientist will analyze geospatial data, communicate insights, collaborate with teams, and enhance data processes to support national security missions.

The Data Scientist will develop machine learning models to optimize software build processes, analyzing large datasets and collaborating with teams for improvements.

The role involves deploying data science solutions in cybersecurity, collaborating with customers and teams to operationalize models and enhance security insights.

The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

As a Data Scientist at Spotify, you'll lead analytical projects, evaluate generative music systems, and translate insights into product strategy, enhancing connections between artists and listeners.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

Analyze and optimize pricing, billing, and deployment metrics. Collaborate across teams to ensure data-driven decisions and improve enterprise readiness and cost efficiency.

The Senior Data Scientist will lead data science initiatives, collaborate with various teams, and drive business outcomes through data analysis and modeling.

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.

The NHL Data Scientist will develop and enhance machine learning models for sports betting, analyze model performance, and collaborate with engineering teams.

As a Data Scientist II, you will develop fraud detection models, advance financial risk products, and conduct analyses, while writing production-ready code in a dynamic environment.

The Data Scientist at Candescent uses statistical and AI/ML methods to analyze data, support product strategy, and drive data-informed decision-making. Responsibilities include user behavior analysis, product experimentation, and risk assessment through advanced analytics, while collaborating with cross-functional teams.

Join the Core Data Science team to ensure statistical rigor in product development. Collaborate across teams to enhance data-driven decisions and contribute technically.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

The Data Scientist will analyze healthcare claims data, develop SQL and PySpark pipelines, ensure data quality, and collaborate with cross-functional teams to provide actionable insights.

The Data Scientist will enhance Smart Signals accuracy using data science and ML techniques, collaborating with engineers and data scientists.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

As an AI-First Data Scientist, you will design and deploy ML solutions, conduct causal analysis, and automate intelligence in decision-making processes. You will work closely with senior operators and business leaders, translating complex problems into data-driven solutions while ensuring model performance and scalability.

As a Trainee Data Scientist, you'll assist in data cleaning, model development, exploratory analysis, and presenting insights to stakeholders.

The Applied Data Scientist will develop and deploy machine learning models, create production-ready pipelines, and collaborate with cross-functional teams to translate business problems into analytical solutions.

The Senior Data Scientist will enhance the Marketing Mix Modeling platform, develop AI tools, automate modeling processes, and provide actionable insights from complex data.

As a Data Scientist II at Root, you will refine pricing models, ensure regulatory compliance, collaborate across departments, and apply technical expertise in data analysis and modeling.

The Data Scientist II will analyze large datasets, develop predictive models, evaluate business performance, and interact with stakeholders to provide insights.