data-science jobs in San Diego

As a Data Scientist II, you will partner with business stakeholders to frame and solve private brands product assortment and pricing problems using generative AI, machine learning, and statistical modeling. You'll investigate business problems using data, invent novel solutions and prototypes, and deploy production software while reviewing and guiding science solutions across the team.…See more The role requires strong expertise in data querying, machine learning, statistical modeling, and the ability to communicate complex concepts and publish research both internally and externally.

This Technical Business/Product Analyst role requires translating complex client requirements into functional specifications, user stories, and acceptance criteria while coordinating development, QA, and delivery across Agile teams. The analyst will conduct discovery sessions, facilitate UAT, manage scope and blockers, and assist in configuring the E2M2M low-code platform to meet client needs.…See more The role demands hands-on expertise in requirements documentation, test case development, and stakeholder communication across both technical and non-technical audiences, with flexibility to support offshore team collaboration across time zones.

Lead end-to-end AI platform architecture and infrastructure at enterprise scale, designing and implementing generative AI capabilities including LLMs, RAG systems, and agentic AI with a focus on model serving, inference optimization, and production deployment. Establish MLOps/LLMOps best practices, build automated CI/CD pipelines tailored for AI/ML applications, and architect vector database integration and cloud AI/ML services.…See more Mentor engineering teams, drive cross-functional collaboration between software, product, and data teams, and continuously evaluate and optimize AI platform performance, scalability, and reliability.

The Business Intelligence and Planning Analyst will analyze campus-wide data to support strategic decision-making across UC San Diego's Student Affairs division. The role involves developing financial and operational models, producing reports from internal databases and BI tools, and translating complex data into actionable insights for non-technical leaders.…See more The analyst will manage ad-hoc requests, support workforce planning and revenue optimization, and work cross-functionally with professional and technical staff. A bachelor's degree in Business Analytics, Data Science, Statistics, Economics, or Information Systems is required, along with demonstrated analytical and statistical skills, proficiency with BI applications, and strong communication abilities.

This business analyst role supports U.S. Navy budget execution and financial planning, requiring 3+ years of financial or data analytics experience.…See more The analyst will conduct financial analysis using Excel, create data visualizations in Power BI and Tableau, support the Planning, Programming, Budgeting, and Execution (PPBE) process, and help program managers and senior leadership plan and field systems efficiently. The role demands the ability to query data, identify insights, manage spend plans, and work under minimal supervision in a government contracting environment.

Lead a machine learning engineering team designing Visual Language Action Models, Vision Language Models, and Large Language Models for autonomous driving and infotainment on Qualcomm's Snapdragon Ride platform. Optimize deep networks for accuracy-latency trade-offs on resource-constrained edge devices, focusing on low-level perception, end-to-end autonomous driving (L2/L3 ADAS), and multi-modal sensor fusion.…See more Drive cross-functional collaboration with automotive OEMs and internal Qualcomm teams while building a world-class AI/deep learning engineering organization. Requires 6–8+ years of systems engineering or machine learning experience (depending on degree level), with hands-on expertise in deep learning network design, quantization, and deployment on edge AI accelerators.

Own end-to-end reconciliation of inventory moving through Amazon FBA, analyzing ledger data across receipts, returns, removals, and adjustments to identify discrepancies and drive reimbursement claims. Use SQL to join shipment and ledger tables, manage exception queues for shortages and damages, and build executive dashboards showing dollars at risk and recovery opportunities.…See more Partner with Warehouse, Operations, Engineering, and Accounting teams to pinpoint root causes, implement stronger controls, and turn variance analysis into filed claims and recovered dollars. This is a hands-on ownership role requiring 3+ years of FBA reconciliation experience, forensic attention to detail, and strong SQL and Excel skills.

Design, develop, test, and deploy SharePoint Online solutions using SharePoint Framework (SPFx), React, TypeScript, and JavaScript. Build custom web parts, extensions, and reusable components; customize SharePoint sites, lists, and libraries; and integrate with Microsoft 365 services via Microsoft Graph APIs.…See more Develop automated business processes using Power Automate and Power Apps, create REST API integrations with third-party applications, and deploy Azure Functions for extended functionality. Provide technical support, perform testing and code reviews, and troubleshoot SharePoint application and workflow issues.

Join Aphantic as a Software Engineer to design and develop web-based applications that integrate with custom embedded systems using AI-assisted coding tools. You'll write requirements and test documentation, execute testing, and interface with customers on requirements and design reviews.…See more The role requires 2+ years of professional software engineering experience, proficiency in Python, JavaScript/TypeScript, Go, C/C++, or Rust, Linux systems knowledge, and web-based UI development skills including TLS/HTTPS networking.

The AI Learning Architect designs and implements generative AI applications for learning and development, using prompt engineering, retrieval-augmented generation, and low-code automation to personalize training content and remove manual steps. They structure learning data into modular frameworks, evaluate and integrate AI tools with existing learning platforms, set up analytics tracking via xAPI, and debug prompt configurations to keep solutions accurate and current.…See more The role requires 3+ years in instructional design or educational technology with hands-on AI integration, proficiency in modern generative AI models and low-code tools, knowledge of learning frameworks (ADDIE, SAM), and the ability to translate technical AI behavior into accessible user experiences. They embed responsible AI practices including data privacy, bias checks, and accessibility from the start, while documenting workflows and coaching teammates.

Mid-level software engineer building AI/ML capabilities for a defense customer. You'll develop NLP and machine learning pipelines in Python (text analytics, topic modeling, embeddings, entity extraction), design knowledge graphs and network-analysis tools, develop collaborative TypeScript front-end applications, and deploy APIs and production systems.…See more Requires 4+ years Python development or equivalent front-end experience plus 2 years Python, hands-on NLP/ML experience, and ability to work with limited supervision.

Systems Analyst supporting a naval C4I (Command, Control, Communications, and Intelligence) program within a program management office. Responsibilities include preparing C4I concepts, conducting technical assessments of new systems, coordinating systems integration across Navy platforms, reviewing engineering products, and validating shipboard C4I configurations.…See more Requires experience with system analysis, Microsoft Office suite, and familiarity with Agile/JIRA; desired skills include JavaScript, SVG, and visual studio tools.

As a Sr. Software Integration Engineer on Qualcomm's Cloud software team, you will design and implement CI/CD pipelines, testing strategies, and automation frameworks for a new machine learning accelerator program.…See more You'll develop Jenkins-based build infrastructure, integrate code coverage tools, manage build servers and dependencies, and collaborate across hardware, software, and systems teams to deliver production-grade software and firmware. The role requires strong experience with CI/CD, programming languages (Python, C++, Java), source control (Git, Gerrit, Perforce), and build automation, with growing team leadership responsibilities.

A Functional Analyst & Quality Lead role at an insurance company responsible for developing and maintaining automated test scripts, identifying defects and process gaps, and leading cross-functional testing initiatives. The role requires hands-on experience with Insuresoft applications (policy administration, claims, or billing), UAT/QA processes, and SDLC methodologies (Agile/Scrum, Waterfall).…See more The position involves mentoring junior staff, coordinating system implementations, and driving process improvement, with potential to expand into people-management responsibilities.

Senior technical leader responsible for integrating AI/ML systems into secure, scalable DoD-compliant environments. Will architect AI system deployments, establish DevSecOps practices, ensure compliance with RMF/NIST 800-53/DISA STIG standards, and provide technical guidance across engineering teams.…See more Requires deep expertise in AI/ML production systems, containerization, CI/CD, and cybersecurity controls, with hands-on experience in Python, Kubernetes, and modern infrastructure tooling.

Lead a team of data scientists at Insulet's Analytics Center of Excellence, managing the execution of global analytics and AI initiatives while maintaining hands-on expertise in data science work. You will mentor scientists, guide development of cloud-based analytics pipelines and automated machine learning solutions, and coordinate with cross-functional stakeholders across R&D, clinical, quality, and manufacturing to identify and deliver high-value data science opportunities.…See more The role requires a Master's degree with 5+ years in data science (or PhD with 3+), 2+ years in machine learning/AI, direct team management experience, and proficiency in Python/R, SQL, cloud platforms (Azure/AWS/GCP), and big data technologies like Spark/Databricks. You'll perform statistical analysis, predictive modeling, and communicate insights to executives while owning the data products portfolio and managing annual budgets.

Senior Data Engineer at Sony to design, build, and maintain scalable data pipelines, dashboards, and reporting solutions supporting PlayStation's payments, subscription, and fraud-prevention systems. Will develop AI-ready data products for analytics, automation, and machine-learning workflows in close partnership with data scientists, analysts, and global payments stakeholders.…See more Requires 7+ years in data engineering or related software/systems work, strong SQL and data modeling, proficiency in Python/Java/scripting languages, and experience operationalizing data for ML and governance. Will mentor team members, communicate technical architectures to executives, and drive platform reliability and security.

Staff Data Engineer at Qualcomm responsible for designing, building, and maintaining scalable batch and streaming data pipelines on AWS and Databricks. Develop reusable data engineering frameworks, libraries, and templates while implementing AI-driven automation for schema inference, data quality checks, pipeline orchestration, and self-healing mechanisms.…See more Lead reliability and operations efforts by defining SLIs/SLOs, participating in incident response, and driving performance tuning and cost optimization. Mentor junior engineers, collaborate across analytics and platform teams, and drive adoption of standardized data frameworks and best practices.

Business Solutions Analyst role focused on Pega Cloud Systems configuration and optimization. The position requires expert knowledge of system architecture and design best practices, with strong analytical and problem-solving capabilities to design and implement solutions within the Pega platform.…See more Responsibilities include working independently and collaboratively to support business requirements through technical design and system configuration. A Bachelor's degree in Information Technology or related field is preferred, with Pega BA Certification highly valued.

Qualcomm seeks a Staff Product Data Manager for AI Platforms & Systems Solutions to define product strategy and drive cross-functional decision-making for edge AI/ML platforms, inference runtimes, and agentic frameworks. The role requires deep technical expertise in Windows-ecosystem AI platforms, LLM/VLM models (1B–150B range), edge AI APIs/SDKs, and AI middleware frameworks, combined with the ability to work independently, influence senior leadership, and manage complex multi-year initiatives across matrixed organizations.…See more Responsibilities include assessing feasibility, translating innovation into shippable solutions, negotiating partnerships, and authoring technical specifications—all with minimal supervision and significant organizational impact. The ideal candidate brings 10+ years in product management or technical roles, experience shipping AI platforms, familiarity with standards bodies, and strong communication skills to convey complex information to diverse audiences.

The Data Scientist will support early-stage pharmaceutical programs by compiling, harmonizing, and ingesting omics datasets (RNA-Seq, DNA-Seq, scRNA-Seq, copy number) from multiple internal and external sources. The role requires developing automated scripts for dataset harmonization, loading formatted data into a proprietary interface, and performing quality control assessments.…See more The candidate must have strong coding skills in R and/or Python, bioinformatics experience, and a background working with NGS data.

Senior engineer responsible for designing, building, and optimizing large-scale AI platforms for wireless, 5G, and connected devices. You will architect end-to-end AI/ML pipelines, integrate models into chipsets and cloud/edge environments, and deliver scalable inference services, tools, and SDKs.…See more Key responsibilities include model deployment, performance tuning on heterogeneous hardware, MLOps automation, and monitoring across silicon, software, and product teams.

Design and deploy generative AI solutions across firmware, embedded OS, and toolchains to automate workflows and optimize code. Partner with software, silicon, and DevOps teams to integrate AI copilots, code analysis, and test generation into existing development pipelines.…See more Evaluate AI models, develop scalable inference services, and measure their impact on developer productivity. Drive best practices for secure and compliant AI adoption in a fast-paced environment.

This role involves conducting comprehensive security assessments of AI systems and deployments, evaluating them against NIST frameworks (AI RMF, CSF, 800-53, 800-171) and other security standards. The consultant will identify AI-specific risks such as prompt injection, model misuse, data leakage, and supply-chain vulnerabilities across cloud platforms (AWS, Azure, hybrid).…See more Responsibilities include developing AI governance frameworks, policies, and controls; assessing AI development environments, model pipelines, APIs, and orchestration layers; and delivering executive-level recommendations and remediation roadmaps. Requires 7+ years of cybersecurity/consulting experience and 3+ years supporting AI/machine learning security initiatives, with strong expertise in AI threat modeling, secure AI deployment, and governance frameworks.

Research Scientist Graduate role focused on image/video coding and processing standards. The position requires a PhD and expects familiarity with Python and PyTorch for multimedia research and development.…See more This is an entry-level research position within ByteDance's Global Frontier Tech Recruitment Program, targeting recent PhD graduates in related fields.