Top Remote Senior Level Data Science Jobs in CO

The role involves leading analytics strategies for clients, translating complex data into engaging narratives, managing a team, and developing ML models. Focus on improving marketing measurement and delivering impactful insights to drive business outcomes.

The Analytics Lead will drive the evolution of data infrastructure and reporting, manage data governance, and mentor team members. Responsibilities include designing databases, developing ETL pipelines, and ensuring data quality across HR platforms while collaborating with stakeholders for data-driven decisions.

As a Senior Data Scientist, you'll conduct analyses, own data and metrics, guide code reviews, and maintain statistical rigor in experimentation and causal analyses to support the Coinbase Institutional business.

The Senior Data Scientist will analyze user behavior, design experiments, create segmentation strategies, and communicate findings to impact product optimization and business growth.

Lead and mentor a data science team delivering AI-driven insights and predictive analytics for enterprise-level business applications, ensuring strategies align with operational excellence.

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.

The Lead Analyst will shape data-driven talent decisions by conducting predictive analyses, developing dashboards, and mentoring other analysts, impacting workforce strategies across the organization.

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 a team of data scientists to deliver insights and data-driven solutions. Provide technical leadership, manage projects, and foster a culture of innovation.

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.