Top Big Data Jobs in Los Angeles, CA

Analyze complex health benefit plans, assess risk, develop pricing and financial models, and recommend plan designs, renewals, and proposal responses. Partner with underwriting, actuarial, finance, product, and account management teams to support client strategies and financial objectives. Serve as a senior technical resource, review and coach team members, lead process improvement initiatives, and communicate complex underwriting and financial recommendations to stakeholders.

The Lead Growth Strategist will develop and implement innovative, data-driven marketing strategies to grow Startpage's user base and increase app installations and browser usage.

Develop and improve MongoDB’s distributed database networking and observability components. Responsibilities include writing production-level C++ code, enhancing performance, availability, scalability, and resource efficiency, integrating observability frameworks, leading medium-sized projects, collaborating across the product lifecycle, and participating in code reviews and technical design. The role requires strong software architecture fundamentals and an interest in networking, observability, and computer systems internals.

Own revenue and publisher accounting processes, including journal entries, accruals, reconciliations, adjustments, invoicing support, and month-end close. Execute SOX controls, support audits, analyze contracts and accounting variances, and prepare financial reporting. Partner with Financial Systems, Product, Engineering, and Operations on Oracle enhancements, system implementations, automation, and process improvements. The role supports complex publisher accounting and revenue recognition in a public technology company.

The Senior Insights Manager analyzes campaign data, delivers actionable insights, engages with customers, and collaborates across teams to optimize performance and achieve business goals.

Manage 2-3 cross-functional software teams to deliver projects using Agile (Scrum/Kanban). Plan timelines, facilitate meetings, remove blockers, improve processes, and coordinate with program leadership on resource planning and portfolio initiatives.

Design, build, and deploy production-scale ML models and ranking systems for personalization and advertising. Take end-to-end ownership of models and services, implement evaluation harnesses and automated tests, and maintain data pipelines using Hadoop/Spark/Kafka. Collaborate across teams and present technical findings, while ensuring scalable, reliable system architecture and rapid iteration using AI-assisted coding tools.

The Senior Solutions Engineer leads technical sales cycles, designs enterprise storage solutions, and partners with sales to drive customer outcomes and revenue growth.

Design, build, and own production AI agents and automations for marketing. Integrate and instrument the marketing stack (Salesforce, HubSpot, Qualified, Clay, ZoomInfo, data warehouse), implement predictive scoring and personalization, monitor systems for reliability, and collaborate with marketing, RevOps, and sales to translate problems into deployable software.

Build and operate ML training and serving infrastructure; design, develop, and launch backend systems; collaborate across teams to decompose projects; maintain availability through monitoring and on-call support; review and debug large codebases; contribute to hiring and team growth.