Top Senior Level Data Science Jobs in Denver & Boulder, CO
Seeking a Principal Decision Scientist, Client Analytics to lead and mentor teams in delivering analytics solutions and actionable insights for external clients. Responsible for defining and executing the Client Analytics roadmap and driving internal projects forward. Must have extensive experience in Decision Science roles and analytics domain, as well as strong communication and presentation skills.
Lead and oversee ML projects, drive team vision, collaborate cross-functionally, and ensure timely project completion. Empower AI practitioners to deliver top-tier solutions for enterprise customers globally.
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.
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Design and implement advanced diagnostic, predictive, and prescriptive models, lead data analysis projects, and mentor junior team members in a high-growth environment. Collaborate with cross-functional teams to drive projects independently and ensure data quality for positive member outcomes in the healthcare sector.
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 a Senior LLM Data Scientist with experience in Generative AI for a fintech platform specializing in personalized investment advice. Responsibilities include training and productionalizing models, interpreting tech requirements, and maximizing customer experience impact.
Build, deploy, and monitor machine learning algorithms with a sustained business impact. Develop software for reliable model deployment and monitoring. Work collaboratively and communicate effectively with stakeholders to drive data product innovation.
Compile and analyze data for internal and external customers, collaborate with partners, develop a deep understanding of data and databases, support peer-reviewed publications, generate summary reports for clinicians.
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