Top Data & Analytics Jobs in Los Angeles, CA
The Sr. Data Scientist at Empower is responsible for the entire model development process, including creating and enhancing credit risk models, partnering with various teams to implement solutions, and driving business growth through data-driven insights.
The Performance Analyst will analyze data, develop KPIs, and provide actionable insights to improve business performance. Responsibilities include writing SQL queries for data extraction, creating performance reports and dashboards, and collaborating with stakeholders for data needs.
As a Staff Data Scientist at Upstart, you will identify and analyze issues with predictive models and their business impacts, present findings to stakeholders, conduct ad hoc analyses, and collaborate with the Machine Learning team to develop and evaluate models. You will also produce clear, well-documented code and play a key role in model performance evaluation.
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The Solutions Architect role involves engaging with clients to understand their Data & Analytics needs, creating tailored proposals, and ensuring successful delivery of solutions. Responsibilities include client support, design documentation, sales planning, and developing partner relationships, along with contributing to intellectual property.
The Data Engineer II role at Bestow involves building scalable data solutions, improving data quality and availability, creating data models and pipelines for analytics and machine learning, and collaborating with various teams to ensure efficient data management.
The Senior Data Scientist, Data Products role involves leveraging data to enhance product creation and strategy through collaboration, automated systems, quality metrics, and ad-hoc analysis. Responsibilities include creating insights and applying the latest technology trends while leading projects independently.
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The Data Science Manager at Garner will develop care navigation algorithms and analytics, while leading a team of 4-6 data scientists and analysts. Responsibilities include managing projects within the Data Science Guild and contributing to the healthcare mission by driving data-driven insights.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
The Geospatial Analytics Data Platform Architect will design and implement geospatial data architectures for large-scale analytics and machine learning using GCP. The role includes establishing data governance frameworks, leading cross-functional teams, and providing geospatial expertise to create innovative data solutions.
As a Principal Database Engineer, you will design and develop core modules for a data integration and analytics cloud platform, work with the engineering team on web applications, ensure compliance with quality standards, and provide technical guidance and support to other engineers.
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