Top Hybrid Data & Analytics Jobs in Los Angeles, CA
As a Decision Analytics Associate Consultant, you will analyze healthcare data from Electronic Health Records (EHR) to extract insights, support healthcare providers, and apply statistical models to inform decision-making. You will design custom analyses to address client needs and communicate results effectively while developing client relationships.
As a Decision Analytics Consultant, you'll analyze and manage healthcare data, focusing on extracting insights from Electronic Health Records to support healthcare providers. You'll collaborate with clients to assess their business information needs, derive quantitative answers, and communicate results to inform decision-making and improve patient care.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.
As a Lead Data Analyst, you will direct data-driven strategies to enhance member experiences, support growth through actionable insights, and lead cross-functional data initiatives. Your role involves advanced analytics, mentoring junior analysts, and communicating complex data insights clearly to stakeholders.
Provide trajectory analysis and optimization support for spacecraft, launch vehicles, hypersonic vehicles, and missiles for various missions.
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The Business Systems Analyst role involves liaising between users and IT to capture business needs, document workflows, and assess ERP utilization. Responsibilities include managing user acceptance testing, facilitating workshops, and creating business process representations. The role also requires tracking KPIs and supporting change management through training and communication plans.
The Senior eDiscovery Analyst will manage eDiscovery matters by providing technical support, data collection, and analysis. Responsibilities include handling internal client requests, organizing complex documents, and managing projects under tight deadlines. The role requires strong communication skills and the ability to work independently, along with proficiency in relevant eDiscovery software and tools.
As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.
As a Manager in the Machine Learning team, you will lead planning and coordination within sprints, build and maintain a machine learning platform, manage data pipelines, troubleshoot technical issues, and mentor team members.
The Senior Software Engineer will build a next-gen machine learning platform for advertising decisioning, develop scalable data analysis methods, collaborate with researchers, and advocate for best engineering practices.
The role involves leading AI and GenAI data science projects, mentoring team members, and engaging with clients to deliver data-driven solutions. You will analyze business processes, develop AI solutions, and manage both structured and unstructured data for AI applications, focusing on quality and effective collaboration.
The IT Development Senior Analyst develops and modifies complex systems, leads project teams in software applications, performs detailed system analysis, resolves issues, and optimizes system performance. They are responsible for managing Informatica MDM operations, supporting global teams, creating technical documentation, and partnering with cross-functional teams to enhance platform stability while overseeing data management tasks.
As a Senior Database Engineer, you will improve database performance, delivery, stability, and security. Responsibilities include the development and maintenance of databases, troubleshooting issues, optimizing features, and collaborating with cross-functional teams to enhance data integrity and quality.
The Director of People Systems & Data will develop and manage the strategy for People information systems, ensuring data accuracy and compliance. Responsibilities include leading the People Data & Analytics function, optimizing systems, collaborating with various departments, managing vendor relationships, and ensuring effective data management practices.
As the Lead Data Scientist, you will develop measurement frameworks, publish clinical studies, solve cross-functional problems, and educate the team on data analysis. You will manage large datasets, conduct statistical analyses, and integrate health data to improve the health outcomes of Medicare members.
Top hybrid Companies in Los Angeles, CA Hiring Data + Analytics Roles
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