Top Remote Senior Level Data & Analytics Jobs in Los Angeles, CA

As a Senior Associate at PwC, you will work on solving complex business issues related to integration concepts and methodologies. Responsibilities include collaborating with cross-functional teams, analyzing and designing integration solutions, and customizing integration tools like Mule, Boomi, and Apigee.

Lead Machine Learning Engineer responsible for developing and implementing analytical capabilities, machine learning models, personalization services, and data products/services for a healthcare marketplace. Collaborates with data scientists, mentors junior engineers, and addresses technical challenges for product development.

Join Restaurant365 as a Sr Data Engineer and be a technical leader in enabling the flow of information and analytics across the company. You will design and develop data objects, pipelines, and control processes, partner with stakeholders to understand their needs, and drive continuous improvements. A deep understanding of data warehousing, data engineering, business intelligence, and analytics is required.

Join our dynamic team as a talented Data Engineer tasked with maintaining and expanding the data warehouse. Collaborate with cross-functional teams to develop scalable systems, data pipelines, and algorithms in Python. Ensure data integrity, system performance, and contribute to machine learning models. Expertise in SQL, NoSQL, REST APIs, and cloud platforms is essential.

As a Senior Data Analyst at Square Banking, you will partner with cross-functional teams to drive data-informed product decisions and enhance the cash flow experience for small businesses. You will analyze customer data, develop insights, and communicate key findings to stakeholders and executives.

Develop models, statistical analyses, and machine learning algorithms to predict marketing outcomes. Provide analytical support for marketing and advertising campaigns. Mentor junior data scientists and drive best practices in marketing research.

Seeking a Staff Data Engineer to build data pipelines and applications using emerging technologies like generative AI and large language models. The role involves designing and scaling data pipelines, partnering with internal stakeholders, and working with data engineers and data scientists. Responsibilities include building reliable and scalable pipelines for large language models and crafting the vision for analytics.