Top Data Science Jobs in Denver & Boulder, CO

As a Staff Data Scientist, you'll build data assets and analytics solutions, create machine learning models, and collaborate with stakeholders to drive business value.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

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.

As a Staff Data Scientist, you'll lead data science initiatives, collaborate with stakeholders, analyze large datasets, and build models to drive business decisions.

The Senior Data Scientist will lead AI initiatives, develop predictive models, manage MLOps, and translate complex data into actionable insights to enhance business strategy and operational efficiency.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

As a Senior Data Scientist, you will leverage statistics, machine learning, and data visualizations to derive insights, drive business growth, and mentor others within the organization.

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.

As a Senior Data Scientist, you will guide model development and deployment, collaborate with teams, and mentor talent, focusing on automation and real-time intelligence in trading.

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.

As a Data Scientist II, you will analyze complex data, develop statistical models, and create data visualizations to support internal clients and enhance analytics capabilities. You will collaborate with technical leads and stakeholders, ensuring data quality and accuracy in deliverables.

The Data Scientist will develop and maintain models for asset valuation and portfolio management, perform statistical analysis, enhance data capabilities, and work with various teams to solve complex business problems in real estate investment lending.

As a Data Scientist, you will solve complex data problems using AI and machine learning, develop prototypes, and contribute to product strategy.

The Staff Data Scientist analyzes large healthcare datasets, develops predictive models, and collaborates with teams to enhance product development and decision-making.

The Data Scientist II will develop and improve machine learning models for document verification, engaging in model diagnostics and optimization, and collaborating with cross-functional teams to meet performance requirements.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.

As a Technical Lead in Data Science, you'll guide a team on analytical frameworks, mentor colleagues, manage data projects, and collaborate with stakeholders in engineering and research.

The Applied Data Scientist III will develop scalable AI solutions, analyze data, and translate technical concepts for stakeholders while advocating for AI adoption.

You will develop causal inference models, optimize pricing strategies, and improve marketplace ranking through collaboration and innovation in data science.

The Data Scientist II will work with sports tracking data to build models and analyses for NHL and NBA organizations, focusing on data transformation and metrics development.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.