Top Remote Data Science Jobs in Denver & Boulder, CO

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

The Geospatial Data Scientist will support GEOINT analysts in creating data architectures and integrating algorithms for intelligence requirements, with a strong emphasis on data science techniques and GEOINT operations.

The Data Scientist will develop and evaluate AI-augmented information retrieval models, build NLP pipelines, and contribute to knowledge graph work while collaborating with Engineering, Product, and Marketing teams.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

The role involves analyzing healthcare data to optimize care delivery, predict patient needs, and support internal teams through insights, dashboards, and A/B testing.

As a Data Scientist II, you'll analyze products, design experiments, and build metrics to enhance customer experience and product strategy at Coinbase.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

The Data Scientist II will perform analyses to answer strategic questions, design experiments, and develop key metrics to support Coinbase's Institutional business.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The Senior Data Scientist will analyze user behavior, design experiments, create segmentation strategies, and communicate findings to impact product optimization and business growth.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.

Analyze complex datasets, develop and implement predictive models, collaborate with stakeholders to find data-driven growth opportunities, create visualizations, ensure data quality, and stay current with industry trends.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Senior Data Scientist will analyze customer data, define success metrics, lead technical teams, and develop data infrastructure to improve products at Webflow.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

As a Senior Data Scientist in Sales, you'll analyze customer behavior, develop predictive models, and create dashboards to optimize sales strategy and forecast revenue.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

Design and execute observational studies on claims data, measure program cost and outcomes, build Python/Spark analysis pipelines, support ML products, collaborate across teams, and document reproducible methodologies using cloud data infrastructure (BigQuery, GCS, Dataproc).

Build and deploy machine learning models and production data science pipelines to drive product goals (subscription prediction, recommendations), perform quantitative analysis, lead experiments, and collaborate cross-functionally to improve user experience.