Top Data Science Jobs in Seattle, WA

As a Data Scientist at Pacaso, you will support Advanced Analytics initiatives, bringing customer insights to various teams. Responsibilities include data acquisition and cleansing, operationalizing performance metrics, communicating analyses, designing experiments, and building predictive models for customer segments.

As an Associate Principal Engineer in Data Science, the role involves writing and reviewing high-quality code, translating business requirements into technical designs, guiding and mentoring team members, ensuring adherence to best practices, and developing architecture for applications. Interaction with clients to identify solutions and perform POCs for technology validation are key responsibilities.

The Senior Staff Engineer in Data Science is responsible for writing and reviewing high-quality code, designing technical solutions for client needs, mentoring team members, and ensuring best practices in software architecture and design. They should possess strong data science skills, including data analysis, SQL, and expertise in machine learning and cloud technologies.

The Senior Staff Engineer - Data Scientist will support and develop products through data analysis, model development, and collaboration with stakeholders. This role involves creating statistical and optimization models, identifying trends in large datasets, and communicating insights to enhance business performance.

The Revenue Enablement Data Analyst is responsible for analyzing and presenting data to measure the effectiveness of enablement programs, sourcing and correlating regional performance data from various tools like Salesforce and Power BI, and collaborating with teams to derive actionable insights for improved performance. They will also manage reporting practices and data integrity issues.

The Associate Director, Aggregate Report Scientist manages the production of Aggregate Safety Reports, oversees quality compliance with global pharmacovigilance regulations, and collaborates with stakeholders. They identify process improvements and mentor staff, ensuring high-quality outputs and adherence to safety requirements.

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.

The Senior Data Scientist will develop predictive models using machine learning and statistical methods on data collected from 3D sources, leveraging tools like Python and AWS. Responsibilities include preparing data, performing iterative solutions, and working collaboratively in a dynamic team.

The Senior Data Scientist will lead the design and development of personal auto insurance pricing models, drive feature engineering for telematics data, mentor junior data scientists, and collaborate across teams to translate models into real-world applications while advocating for data-driven strategies within the organization.