Top Senior Level Data & Analytics Jobs in Boise, ID

The Senior Data & AI Specialist at IOTA will perform data analysis, develop machine learning models, create visualizations, and optimize data processes. Key responsibilities include collaboration with cross-functional teams to align product strategies with technological capabilities and customer needs.

The Senior Data Scientist will leverage advanced data analysis and machine learning skills to solve complex business problems, mentor junior scientists, collaborate with cross-functional teams, and communicate results to stakeholders, ensuring data science solutions drive value and are integrated into products.

As a Staff Data Engineer on the Ads Data Science team, you will create and maintain data pipelines, develop tools for data analysis, and foster a data-driven culture within Reddit by collaborating across teams to enhance data accessibility and quality. Provide mentorship and drive strategies to support data-driven decision-making.

The Senior Data Scientist will derive insights from data, develop data models, and improve data pipelines while partnering with revenue and marketing teams. Responsibilities include analyzing trends, conducting experiments, and leveraging analytical models to enhance sales and user experience.

As a Senior Data Engineer at Mozilla, you will focus on designing and maintaining scalable data models and ETL pipelines, collaborate with data scientists, and improve infrastructure to handle large-scale data. You will ensure compliance with data governance practices and contribute to data quality initiatives.

As a Senior Data Scientist/DBA, you'll manage data infrastructure, ensuring data integrity and security. You'll analyze complex datasets to derive insights, collaborate with teams for data-driven decisions, and optimize database performance. The role involves creating dashboards, reporting processes, and improving data visualization techniques.

As a Senior Data Engineer at VideoAmp, you'll design and contribute to production-grade software and ETL/ELT pipelines, focusing on optimizing solutions for performance and scalability. You'll collaborate across teams, leveraging technologies like Snowflake and Python, while ensuring secure data architectures and analyzing complex datasets.