data-science jobs in San Diego

The Maximo Business Analyst & Reporting Analyst supports and optimizes IBM Maximo solutions by analyzing business requirements, developing enterprise reports and dashboards, and driving user adoption through training. The role requires designing, developing, and maintaining reporting solutions using BIRT, Cognos, Power BI, and MAS Reporting; supporting asset management, maintenance, inventory, and procurement functions; and providing functional support and troubleshooting.…See more Key responsibilities include gathering stakeholder requirements, creating operational and executive reporting solutions, leading Maximo 2.0 training initiatives, and collaborating on system enhancements and testing activities.

Own the complete release and deployment strategy for Elemynt's secure AI infrastructure platform, building systems that ensure every release is versioned, reproducible, observable, and safe to operate across enterprise and scientific computing environments. Design and implement deployment automation, CI/CD pipelines, artifact management, and operational visibility (logs, metrics, alerts) that work reliably in customer-managed and restricted environments.…See more Debug incidents, identify root causes, and systematize fixes into reusable automation. Partner with product and engineering teams to embed deployment readiness into the platform from the start.

Build and operate the data and ML infrastructure powering an AI platform for materials science, owning both sides: data pipelines that ingest and curate large-scale scientific output into training-ready formats, and model packaging, serving, monitoring, and CI/CD systems that move models safely from research to production across customer environments. You will design data ingestion and transformation workflows, implement validation and quality gates, package and version models with reproducible builds, run models through batch and online inference with safe rollout and rollback, monitor for drift and degradation, and build observability and internal tooling for engineering and science teams.…See more The role requires 6+ years shipping production software with deep expertise in data systems, ML infrastructure, containers, orchestration, and observability.

Design, build, and ship LLM-powered capabilities end to end—from prototyping and fine-tuning models to deploying production agents and retrieval systems. Own the full stack: prompt and context engineering, multi-step agent design with tool calling, RAG systems (embeddings, chunking, hybrid search, reranking), fine-tuning on multi-GPU with LoRA/QLoRA, evaluation and tracing infrastructure, and clean APIs for other engineers.…See more Work in a secure, distributed environment where the platform runs on customer compute, cloud, or hybrid setups, requiring expertise with both commercial and self-hosted models.

As Principal Software Engineer for AI & Data Platform, you will architect the data foundation for scientific and engineering R&D platforms, designing scalable data processing patterns, ML training pipelines, and intelligent workflow interfaces. You will own end-to-end responsibilities including data modeling for multi-use analytics and ML, building production training and fine-tuning pipelines, model evaluation and benchmarking, and setting engineering standards for the team.…See more The role requires 10+ years shipping production software, expert-level Python, deep experience with large-scale data systems (object storage, analytical processing, training formats), hands-on ML pipeline development, and the ability to set technical direction in early-stage environments while implementing it yourself.

Build the foundational agentic AI layer for a materials-science platform, including multi-model provider abstraction, agent orchestration with stateful checkpoints, retrieval systems, prompt versioning, and comprehensive tracing and evaluation frameworks. You'll design agents that plan and reason over tool calls in production, implement human-in-the-loop safety gates, and ensure all LLM behavior remains auditable and cost-tracked across customers' secure environments.…See more The role demands deep production experience with agentic and LLM systems: async Python, structured outputs, memory and context management, multi-step workflow orchestration, and evaluation harnesses that catch regressions before deployment.

Staff Software Engineer leading the design, architecture, and operations of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. The role involves architecting and evolving streaming and analytics platforms using Apache Flink, Spark, ClickHouse, and Druid; integrating batch and streaming workloads via lakehouse architectures; and embedding AI capabilities to automate engineering workflows and improve platform reliability.…See more You will own critical platform capabilities end-to-end from design through production operations, mentor engineers, establish technical standards, and influence cross-functional technical strategy across PlayStation's data infrastructure.

The Accounting Systems & Data Integration Analyst supports Accounting & Finance modernization initiatives at Axos Bank, serving as a technical and functional resource for Jack Henry SilverLake, Enterprise Workflow automation, and related banking platforms. Responsibilities include designing and maintaining integrations between banking systems and Finance applications, developing transaction-to-GL mappings, performing data validation and reconciliations, and troubleshooting production issues across lending, deposit, treasury, and accounting operations.…See more The role requires 10+ years of experience with Jack Henry platforms, system integrations, data interfaces, and enterprise application implementations in banking or regulated environments, with proficiency in Azure DevOps, ServiceNow, SQL, APIs, and file-based integrations. The analyst will also leverage AI tools like Copilot and Claude to accelerate requirements analysis, testing, documentation, and identify automation opportunities.

Staff Software Engineer leading design and evolution of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. Responsibilities include architecting stream processing pipelines, optimizing data services using Apache Flink, Spark, ClickHouse, and Druid, integrating batch and streaming workloads with lakehouse architectures, and building AI-powered capabilities for platform automation.…See more The role requires deep expertise in distributed systems, real-time analytics, and mentoring engineering teams while establishing technical standards and best practices across the organization.

The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, integration patterns, and architectural standards for the Data Lake, Data Warehouse, ODS, and cloud platforms while ensuring security, resilience, and high performance.…See more Working closely with engineering, analytics, and business teams, the architect provides technical guidance on modern data systems, governance frameworks, and ETL/ELT pipelines. The position combines strategic vision with practical experience optimizing structured, semi-structured, and unstructured workloads across SQL, NoSQL, and cloud-native systems.

As a Cybersecurity Engineer and Risk Analyst, you will develop and implement security solutions to protect military infrastructure, performing risk and vulnerability assessments across networks, systems, and applications. You will leverage tools like ACAS, STIGs, and eMASS to assess security threats, implement infrastructure controls, and prepare Risk Management Framework (RMF) artifacts and Security Assessment Plans (SAP) for DoD customers.…See more You'll troubleshoot complex cybersecurity challenges, analyze big data security events to identify advanced threats, and communicate technical findings to both technical and non-technical audiences. The role requires 3+ years of IT experience with government/DoD agencies, hands-on RMF and A&A leadership, and an active TS/SCI clearance.

Ignite Digital seeks an AI Engineer to own the end-to-end machine learning lifecycle—from data preparation and model training through production deployment and monitoring. You will integrate AI models into frontend and backend systems, optimize performance for latency and cost, and collaborate with technical leads and customers to deliver Data and AI solutions.…See more The role requires strong Python and cloud platform expertise (AWS, Azure, or GCP), software engineering fundamentals, and the ability to communicate technical opportunities and limitations across varying levels of technical experience.

The Senior Automated Information System Analyst (SAISA) will provide IT systems support, troubleshooting, and technical training for Naval Forces Logistics systems (R-Supply, OMMS-NG, NALCOMIS) across U.S. Navy ships and shore commands.…See more Responsibilities include NTCSS System Administrator duties, life cycle management for hardware/software, operator training, and Navy/Marine Corps Intranet (NMCI) support. The role requires extensive Linux command knowledge, experience troubleshooting Force Level NTCSS systems, and CompTIA Security+ certification with ongoing continuing education enrollment.

Staff-level engineer designing and operating large-scale distributed data platforms powering real-time analytics across PlayStation. You will lead the architecture and evolution of the Real-Time Analytics Platform (RTAP), own critical capabilities end-to-end from design through production operations, and mentor engineers.…See more Key responsibilities include building and optimizing distributed services using Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid; integrating batch and streaming workloads with lakehouse architectures; and establishing technical standards for distributed systems, stream processing, and data modeling.

As a Data Developer, you will design, develop, and maintain scalable ETL/ELT pipelines and cloud-based data platforms that integrate enterprise systems and support AI/ML initiatives for the U.S. Navy.…See more You will perform data engineering tasks including cleansing, transformation, and optimization of SQL and Apache Spark workloads on AWS, while also developing predictive models and generative AI solutions using Python-based technologies. You will build interactive dashboards and visualizations in Tableau or Qlik, translating technical findings into actionable insights for stakeholders. An active Secret clearance, U.S. citizenship, and a bachelor's degree in a technical field (or 4+ years of relevant professional experience) are required.

This Senior AI Software Program Manager role owns end-to-end planning, execution, and delivery of AI-based product programs—managing schedules, scope, budget, and resources while translating organizational strategy into product roadmaps. The individual coordinates across product management, technology teams, systems, and software leads to ensure timely, quality delivery; manages risk mitigation and stakeholder reporting; and drives process improvements and compliance across interdepartmental efforts.…See more The role requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, plus four years of related program or project management experience.

Senior Software Engineer with 10+ years of experience to develop advanced algorithms and software applications using C++, Python, MATLAB, and TensorFlow in Linux environments. The role involves designing object-oriented software, prototyping AI/ML solutions, utilizing DevOps tools (GitLab, Docker, Podman), troubleshooting complex systems, and providing technical leadership to customers and internal teams.…See more Strong mathematical foundation in probability, statistics, estimation theory, and machine learning is required to support algorithm development in a defense technology context.

The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, cloud-native integration patterns, and architectural standards supporting analytics, reporting, and digital banking applications.…See more This position combines strategic architectural vision with practical expertise in designing, implementing, and optimizing modern data systems across structured, semi-structured, and unstructured workloads. The architect provides technical leadership to Data Engineers and cross-functional teams while ensuring secure, resilient, and high-performing data environments.

As a Performance Analyst on the Performance and Risk Adjustment team, you will conduct chart reviews to code for diagnoses and quality, generate reports on workflow, production, and performance metrics, and participate in improvement initiatives with Provider Relations and health plans. You'll audit charts for HCC diagnoses and quality codes, interface with coding vendors, monitor compliance with IHA/NCQA/CMS requirements, and serve as a user expert for department software systems.…See more The role requires familiarity with healthcare coding standards, quality monitoring processes, and the ability to track audit data and recommend training opportunities to improve provider network performance.

Design and optimize video analysis and quality assessment algorithms for next-generation video codec hardware accelerators (FPGA/ASIC). Implement C-models and firmware for advanced video encoding, collaborating across algorithm, architecture, software, and hardware teams.…See more Apply machine learning techniques including deep learning frameworks and transformer architectures for ROI detection, content understanding, and feature extraction. Integrate algorithms into production VOD/live streaming workflows and validate impact through A/B testing and objective quality metrics (VMAF, PSNR, SSIM).

As a Performance Analyst on the Performance and Risk Adjustment team, you will conduct chart reviews to code for diagnoses and quality, generate reports for workflow and performance monitoring, and participate in improvement initiatives with Provider Relations and health plans. You'll audit and interface with coding vendors, manage software systems testing, track compliance audit data, and stay current on IHA/NCQA/CMS requirements.…See more The role requires familiarity with healthcare coding standards, data tracking systems, and quality assurance processes.

This role supports Naval Air Systems Command (NAVAIR) at NAS North Island, California, developing and maintaining configuration management systems, tools, and documentation for RDT&E lab environments. Responsibilities include managing cybersecurity configuration toolsets, creating and modifying CM plans and policies, maintaining configuration baselines and libraries, and collaborating with IT operations teams.…See more The candidate will use tools such as Jira Projects, Jira Helpdesk, SharePoint, Microsoft Planner, and Power Apps to track controlled documentation and support change control processes across the system lifecycle.

Business Systems Analyst responsible for architecting and building automation infrastructure across Google Workspace, Asana, HubSpot, and other enterprise tools using Google Apps Script, Zapier, and Make.com. The role includes designing AI workflows with LLMs (Gemini, Claude, ChatGPT) for process automation, integrating REST APIs and webhooks, and eliminating manual data entry through real-time syncing and validation.…See more You'll drive adoption through documentation, training, and end-user support while continuously identifying opportunities to redesign processes before automating them. Requires 5+ years of business process improvement and systems integration experience with strong proficiency in Google Apps Script (JavaScript), advanced Google Sheets, and no-code automation platforms.

Lead end-to-end product management for advisor-facing AI experiences within LPL Financial's AI Business Solutions team. Own product vision, roadmap, and delivery lifecycle from opportunity framing through commercialization and scaled adoption.…See more Define advisor chat and agentic AI capabilities, evaluate third-party AI vendors, and ensure measurable business impact aligned to enterprise OKRs. Collaborate in a four-in-a-box model with Technology, Business, and Operations & Risk to co-design product definitions, data contracts, evaluation frameworks, and governance documentation.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and internal workflows. The role involves implementing end-to-end AI pipelines using AWS services (SageMaker, Lambda, ECS/EKS, S3), building feature engineering workflows in Snowflake, and collaborating with cloud and MLOps teams.…See more Candidates need 3+ years of AI/ML engineering experience with 1–2 years focused on generative AI or LLMs, proficiency in Python and frameworks like PyTorch or Hugging Face Transformers, and hands-on cloud deployment experience. The position requires monitoring model performance, ensuring security and compliance, and supporting AI architecture reviews.