Top Remote Data Science Jobs

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

As a Senior Data Scientist, you will lead data science initiatives, analyze complex data sets, develop models, and provide insights to clients.

As a Data Scientist, you'll lead high-stakes analytical work, creating predictive models and defining frameworks for experimentation and evaluation within a healthcare tech startup.

Lead design and execution of data science projects, partner with stakeholders to define solutions, manage data acquisition and quality, develop and deploy ML models (including deep learning and NLP), monitor model performance, present findings to executives, mentor team members, and influence data governance and best practices.

Embed within GTM Marketing to design experiments, build attribution, propensity, churn, segmentation, and conversion models; analyze product engagement and organic search signals; partner with analytics engineers to productionize models; and translate statistical results into actionable business recommendations.

Support development and maintenance of demand, inventory, and supply planning models; provide data-driven insights, dashboards, and scenario modeling; automate analytics using Python/SQL and BI tools; monitor planning KPIs and enable S&OE/S&OP processes.

As a Senior Data Scientist, you will solve machine learning problems in payment risk and build end-to-end ML solutions impacting business. Responsibilities include data analysis, model deployment, and collaboration with teams.

As a Data Scientist, you will build predictive models, develop software tools, and analyze geoscientific data to support mineral exploration and discovery.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

As a Data Scientist, you will develop predictive models, analyze geoscientific data, and collaborate with geoscientists to improve mineral exploration efforts.

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

As a Staff Data Scientist for Forecasting, you will develop forecasting algorithms, create data pipelines, mentor team members, and operationalize models for business needs.

Lead data-driven strategy for Pinterest Ads by translating business needs into analytical solutions, ensuring data quality, connecting product and financial performance, advising cross-functional leaders, and elevating data science practices across the organization.

Work with Data Science, Analytics, Product, and Engineering teams to develop, validate, and maintain statistical and machine learning models for media measurement. Analyze large datasets, respond to client analyses, support methodology and model validation, and communicate insights through visualizations and presentations.

Analyze large marketing datasets, build predictive models for segmentation, pricing, and demand forecasting, support targeted campaigns and retention, partner with product and marketing, apply statistical and ML methods, ensure data quality with engineering, and communicate insights to stakeholders to drive conversion and retention improvements.

As a Staff Data Scientist, you will lead initiatives to build and optimize machine learning models, collaborate across departments, and solve complex business problems using data.

The Data Scientist role involves designing and deploying machine learning systems, prototyping AI agents, collaborating with product teams, and addressing business problems. Responsibilities include model building, data analysis, client collaboration, and contributing to AI tooling.

The Data Scientist will analyze datasets, develop models to predict fraud, and contribute to R&D by utilizing advanced mathematical and machine learning techniques.

The Senior ML Data Scientist will develop machine learning models to detect fraud, manage the data science lifecycle, and collaborate with teams on strategies.

Senior data scientist role focused on industrial manufacturing analytics: build scalable cloud data pipelines, develop and deploy ML models for predictive maintenance, anomaly detection, and forecasting; integrate OT/IT systems (MES/SCADA/ERP) using industrial protocols; apply statistical methods, A/B testing, and lean/Six Sigma practices to improve yield and uptime; communicate findings to operations and executives.

Apply quantitative modeling, experimentation, and ML to product and business problems. Build analysis pipelines, prototype models, instrument experiments, manipulate large web-scale datasets, and communicate insights to cross-functional partners to improve Pinterest products for millions of users.

The Principal Data Scientist will design and implement advanced AI/ML systems, lead development of large-scale machine learning solutions, and drive AI innovation in healthcare while mentoring other data scientists.

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

The Data Scientist II will oversee data management, design study protocols, train staff, lead report development, and manage client activities using project frameworks.