Top Senior Level Data & Analytics Jobs in Boise, ID

As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.

As a Senior Data Scientist, you will leverage advanced analytics tools to develop data-driven solutions and lead end-to-end data science projects. Responsibilities include building predictive models, applying statistical methods, collaborating with teams, and delivering actionable recommendations to stakeholders, while staying updated on emerging Microsoft technologies.

As a Data Scientist at Pacaso, you will analyze data to provide insights, collaborate with various teams, and support advanced analytics initiatives. Responsibilities include data cleansing, defining performance metrics, communicating findings, and building models to understand customer growth.

The Lead Data Engineer will oversee the design, construction, and optimization of data orchestration and pipeline architecture. Responsibilities include implementing ELT/ETL processes, managing data architecture, supporting multiple teams, and mentoring junior engineers. The role demands a hands-on approach to build data systems while contributing to the company's data strategy.

As a Senior Data Engineer, you will develop and enhance data infrastructures, improve data quality, and design systems for performance and reliability. You'll partner with product managers and data teams, build batch and streaming pipelines, and ensure effective data governance. You will also drive technical projects and optimize workflows.

The Senior Data Scientist at 6sense is responsible for leading the design and development of AI solutions to address complex business problems. The role involves utilizing advanced machine learning and deep learning techniques, collaborating with stakeholders, and ensuring alignment with business objectives while continuously adapting to technological advancements.