Top Data Science Jobs in Denver & Boulder, CO

As an Operations Data Scientist at Arrow Electronics, you will be working in the Global Data Science team, discovering insights from data to drive business decisions, building machine learning models, and collaborating with business leaders to plan development.

The Senior Data Science Experimentation Manager at Spectrum leads a team of data scientists, data engineers, and software developers in conducting advanced analytics to drive product and service excellence. Responsibilities include managing projects, collaborating with stakeholders, and promoting a data-driven culture. The role involves creating causal inferences, predictions, and recommendations for business process improvements.

The Senior Data Scientist at Strive Health is responsible for defining the organizational machine learning roadmap, building health economical statistical models, and owning the planning and development of ML-driven solutions.

Establish Pie as the preeminent commercial insurance among small business owners by building data-driven AI/ML solutions to address risk and underwriting challenges, leveraging advanced ML algorithms, deep learning, and NLP skills. Collaborate with Product, data engineering, and MLOps teams to develop and deploy models, enhance risk and pricing models, build demand elasticity models, and automate processes.

The Energy Analyst will convert facility assessment and energy data into energy models, analyze IoT data, present analysis results, and automate data analysis processes.

The Data Quality Analyst assesses the quality of data submitted by healthcare payers and tests the quality of processed data. They identify best practices to ensure data completeness, accuracy, and usability. The analyst also helps develop new data management and analytics capabilities.

Seeking an experienced Sr. Manager of Revenue and Pricing to align pricing strategies with business objectives and optimize profitability. Responsibilities include pricing strategy and optimization, data analysis, cross-functional collaboration, and continuous improvement. Ideal candidate will have a Bachelor’s degree in Finance or related field, 5+ years of experience in strategic analytics, deep understanding of payment processing, and proficiency in SQL.