Top Data Science Jobs in Denver & Boulder, CO

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.

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

As a Data Scientist, you'll analyze diverse datasets, build statistical models, collaborate with stakeholders, and drive data-driven decisions to support business growth.

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.

As a Principal Data Scientist at Gusto, you will lead data-driven strategies in payments, collaborate with engineering teams, drive A/B testing, develop predictive models, and build AI-native data products, ensuring data integrity and influencing business decisions.

The Data Scientist I will analyze large datasets, build predictive models, conduct A/B testing, and communicate insights to stakeholders, enhancing business solutions.

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

The AI Data Scientist will develop and deploy AI/ML models, optimize operations, collaborate with stakeholders, and enhance analytics in business processes.

The Data Scientist will develop AI solutions, assist in data analysis, model development, and collaborate across teams to enhance data-driven decision making.

The Data Scientist will support AI governance by developing data-driven solutions, applying machine learning techniques, collaborating across teams, and monitoring AI risks. Responsibilities include data exploration, model development, and stakeholder communication, ensuring efficient AI solution delivery.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.

As a Staff Data Scientist, you will lead experimentation strategies, apply advanced causal inference techniques, and guide analytical insights to drive product and business decisions.

As a Senior Data Scientist, you'll optimize search relevance, retrieve content, analyze data, and collaborate with teams to enhance product strategies.

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

The Data Scientist at Vantage Data Centers develops and operationalizes analytical models to enhance forecasting, optimize performance, and improve decision-making across various departments, ensuring alignment with data architecture and governance standards.

As a Staff Data Scientist, you will create and integrate AI/ML models into performance management, conducting data analysis, statistical modeling, and collaborating with engineering teams for operationalization.

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

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

GliaCell seeks a Data Scientist to support U.S. Government customers with technical expertise in mission-critical software and systems. Responsibilities include custom data analytics, adversary defeat analysis, and data visualization, requiring collaboration and strong communication skills.

The role involves developing graph algorithms, data pipelines for identity verification, and supporting data analysis for compliance products.

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

The Data Scientist will develop scalable machine learning pipelines, enhance data analysis processes, and present findings using advanced mathematics in a sports-related context.

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 Engineer/Scientist, you will design and implement ML models to predict churn, generate insights, and collaborate on customer segmentation strategies.