Top Data Science Jobs in Denver & Boulder, CO

The Data Scientist will analyze customer behavior data, drive business decisions through analytics, and collaborate with cross-functional teams to enhance product and revenue strategies.

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 Data Scientist will analyze user behavior data, design experiments, create dashboards, and provide insights to drive business growth and optimize products.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

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 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 Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

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 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.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Senior Data Scientist will lead data analytics projects, developing AI/ML models for strategic decisions while mentoring team members and ensuring responsible AI practices.

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

The Data Scientist will develop models and algorithms, analyze data for insights, and support data integration, forecasting operational needs, and improving decision-making processes.

The Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

The Data Scientist will develop and maintain predictive models for insurance, support business strategies, and collaborate with teams to enhance decision-making.

As a Senior Product Data Scientist, you'll analyze customer behavior, optimize user retention and marketplace efficiency, and drive product strategy through data insights and SQL querying.

Data Scientists needed to extract value from large datasets, employing analytical, statistical, and computational methods. Must communicate complex data insights effectively.

The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.

As a Staff Data Scientist II, you'll lead research on lead segmentation and bidding optimization, mentor team members, and deliver high-impact solutions using advanced quantitative techniques.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

As a Data Scientist II, you'll design and implement deep learning models for fraud detection and risk management, collaborating across teams to achieve project success. You will handle diverse data types and participate in all machine learning lifecycle stages.

Lead advanced data science efforts for identity graph modeling. Collaborate across teams to enhance system performance and data quality, focusing on scalable identity solutions.