Top Data Science Jobs in Denver & Boulder, CO

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

The Data Scientist will extract insights from datasets, develop machine learning models, and deploy AI solutions, collaborating with stakeholders to drive business outcomes.

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.

The role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

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 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.

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

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

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

The Data Scientist II will analyze customer data, build ML models, and communicate insights to support revenue growth and risk management for Socure's clients.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.

Lead data science initiatives, mentor junior scientists, and apply machine learning to influence enterprise decision-making and improve business outcomes.

The Principal Data Scientist will lead marketing analytics initiatives, enhancing measurement methodologies, mentoring junior scientists, and collaborating across teams to drive business impact.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

The Data Scientist will support AI governance and risk management, develop machine learning solutions, and utilize data science techniques to evaluate risks in AI systems, while collaborating cross-functionally and maintaining scalable AI solutions.

The Data Scientist will design scalable data pipelines, develop core metrics, create dashboards, analyze experiments, and communicate insights to stakeholders.

The Data Scientist IV leads machine learning model development, performs data analysis for insights, collaborates on projects, and mentors junior team members.