Top Data Science Jobs in Denver & Boulder, CO

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

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.

As a Junior Data Analyst, you will analyze AI model performance and communicate insights, support project teams, and create presentations for impact assessment.

The Staff Data Scientist will advance claim audit models, enhance data pipelines, measure impact, and collaborate to ensure healthcare data aligns with business needs.

The Data Scientist will build fraud detection models using machine learning, analyze datasets for insights, and collaborate across teams to advance identity verification solutions.

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

As a Data Scientist at Experian, you will develop and implement advanced analytics solutions, automate data processes, create predictive models, and collaborate across teams to provide strategic insights.

As a Staff Data Scientist, you will leverage data to guide strategic decisions, support product improvements, and drive growth for ClassDojo's consumer education platform.

Seeking a Senior Data Scientist to leverage AI and machine learning in healthcare datasets. Responsibilities include developing algorithms, leading projects, and mentoring juniors while collaborating with technical and business teams.

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.

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 Staff Data Scientist will develop models for balancing patient demand and Registered Dietitian supply, optimize staffing and scheduling, and collaborate with multiple teams for data-driven decision making.

The Senior Staff Data Scientist will lead AI/ML initiatives, developing algorithms for business insights, collaborating across functions, and implementing advanced methodologies in forecasting and optimization.

The Staff Data Scientist role involves leading teams in developing AI solutions, conducting data analysis, and ensuring high-quality data for LLM applications to meet business objectives.

The Principal Data Scientist will lead marketing analytics initiatives, enhance measurement methodologies, mentor junior data scientists, and collaborate with executives to drive business impact through advanced data solutions.

Lead data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

As a Senior Data Scientist, you'll shape the AI-first mission at Dropbox by leveraging data insights, collaborating with teams, and driving product strategies.

As a Data Scientist, you'll design and develop reports, collaborate on complex problems, and employ machine learning techniques to drive insights for clients.

As a Data Scientist at Ziplines, you will develop data models, create dashboards, and deliver insights to influence strategic decisions across teams.

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 Senior AI Data Scientist will design and develop AI agents for marketing analytics in consumer lending, leveraging advanced Python and big data platforms.

As a Data Scientist, build fraud detection models using machine learning, analyze large datasets, collaborate across teams, and enhance products.

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.

Design and build recommendation and personalization systems, conduct A/B testing and causal inference, and mentor the data team in best practices.

The Data Scientist will analyze raw data, build models, visualize information, and provide solutions to enhance business performance.