data-science jobs in San Diego

This role leads enterprise generative AI architecture and solution delivery on Oracle Cloud Infrastructure, designing agentic workflows, RAG pipelines, and LLM-based integrations with Oracle applications. The candidate will define AI governance and security standards, identify high-value use cases, mentor technical teams, and guide model selection and optimization.…See more Requirements include 8+ years of enterprise architecture experience with 2+ years in AI/ML/GenAI solution architecture, hands-on expertise with OCI services (Generative AI Service, Functions, API Gateway, Data Science, Autonomous Database, Integration Cloud), and proficiency in Python, SQL, and REST APIs.

The Insider Risk Analyst supports internal investigations by identifying, preserving, and collecting electronically stored information (ESI) and coordinating eDiscovery and legal hold workflows. The role involves reviewing insider risk, data protection, and behavior policy alerts; establishing investigative timelines and technical summaries; and partnering with Information Security, NetOps, and IT Operations to validate logging and monitoring controls.…See more The candidate will prepare clear documentation of technical findings for non-technical audiences and maintain detailed records to ensure defensibility and audit readiness. A bachelor's degree in IT, Computer Science, Information Systems, Criminal Justice, or Legal Studies is required, along with 3–5 years of experience in internal investigations, eDiscovery, compliance, security operations, or digital forensics in regulated environments.

Enterprise Imaging Analyst at UC San Diego Health designs, maintains, and troubleshoots clinical imaging software, hardware, and databases used in patient care and research. The role involves managing secured networks for patient data transmission, supporting diagnostic workstations, maintaining image archives, and providing technical training to clinical users.…See more Requires 7+ years of IT/clinical imaging systems experience or a bachelor's degree plus 3 years of related experience, with demonstrated expertise in hardware/software administration, database management, system testing, and complex problem-solving.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and customer experiences. Responsibilities include implementing end-to-end AI/ML pipelines using AWS services (SageMaker, Lambda, ECS/EKS), feature engineering with Snowflake, model fine-tuning and testing, and monitoring production performance.…See more The role requires 3+ years of AI/ML experience with 1–2 years in generative AI or LLMs, hands-on cloud deployment experience, and proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.

The Senior Program Analyst supports planning, execution, and improvement of cross-functional datacenter initiatives at Qualcomm. Key responsibilities include analyzing datasets to identify operational trends, developing program artifacts (roadmaps, schedules, JIRA tickets, status reports), managing hardware ordering and lab planning across test environments, and tracking deliverables while removing blockers.…See more The role requires proficiency in data analysis tools, Agile/Scrum methodologies, and the ability to translate business needs into clear requirements for technical and business teams.

Principal Specialist overseeing clinical data management for pharmaceutical studies, responsible for database lock coordination, CRO performance monitoring, and ensuring quality control and audit procedures meet departmental standards. The role requires running data review listings, coding medical history and adverse event data using MedDRA, coding concomitant medications using WHO Drug dictionaries, and collaborating with database programmers to ensure CDISC/SDTM compliance.…See more Requires 8+ years of pharma industry experience (or equivalent with advanced degree), strong knowledge of Good Clinical Data Management Practices, and demonstrated ability to lead and manage teams across multiple projects.

Research Scientist Graduate role focused on designing and developing novel video codec algorithms for image and video compression across multiple formats (2D, multiview, 360-degree, point cloud, light field). Responsibilities include algorithm optimization, file format and transport protocol development, quality evaluation metrics, participation in standardization forums (MPEG, DASH, 3GPP, JVET, AVS), and publication of research papers and patent applications.…See more Requires a PhD in computer science or related field, strong fundamentals in algorithms and data structures, published research in top venues, and hands-on experience with C/C++ and multimedia compression standards.

Lead AI software strategy and architecture for Qualcomm's automotive platform, directing deployment of computer vision, perception systems, LLMs, and generative AI workloads. Drive architectural decisions across multiple products and customer programs while mentoring cross-functional teams.…See more Ensure solutions meet automotive safety, performance, and reliability standards. Requires 8+ years of software/systems engineering experience with deep expertise in AI/ML, C/C++, and automotive software environments.

Lead the modernization of legacy SSIS/SSRS data systems into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design standardized frameworks for ingestion, transformation, and consumption layers while driving CI/CD, observability, and engineering best practices across Azure and GCP.…See more Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming ingestion) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, Cursor AI, GitHub Copilot) to accelerate development and reduce technical debt. Provide technical guidance to the team and translate business requirements into scalable data solutions.

ServiceNow seeks a Senior Software Engineer to build customer-facing AI Developer products, with 4+ years of JavaScript/TypeScript and Node.js experience. You'll design and implement scalable, reusable code; work with product owners on feature delivery; and mentor colleagues.…See more The role emphasizes applied AI integration, modern UI frameworks (React, Angular, Vue), and strong software engineering practices including code reviews and test automation.

Lead large-dataset analysis projects for lending clients, cleaning and analyzing millions of loan-origination records while maintaining rigorous data quality and defensible methodology. Design analyses around customer business goals, translate findings into clear ROI narratives for both technical and executive audiences, and present results directly to stakeholders.…See more Build reusable queries, templates, and documentation to improve study consistency and speed. Spend 20% of time supporting sales through discovery calls, product demos, and creating sales materials.

Senior QA Analyst responsible for testing strategy and execution for complex enterprise applications, primarily Oracle NetSuite and ERP systems. Will lead UAT sessions, design and execute functional and regression test cases, write SQL queries to validate data ingestion, and coordinate testing efforts across onsite and offshore teams.…See more Requires 8+ years of QA experience with deep expertise in retail ERP, financial/inventory systems, eCommerce platforms, and Agile methodologies.

Principal Software Engineer leading AI software strategy and architecture for Qualcomm's automotive platform. Responsibilities include architecting and deploying advanced AI workloads (computer vision, LLMs, multimodal models, generative AI) on automotive systems, driving cross-functional technical decisions across AI, automotive engineering, and platform teams, mentoring engineers organization-wide, and ensuring solutions meet automotive safety, performance, and reliability requirements.…See more Requires 8+ years of software/systems engineering experience (or equivalent with advanced degree); preferred qualifications include 15+ years in AI/ML, embedded systems, or automotive software, expert C/C++ proficiency, and demonstrated experience with automotive safety standards (ISO 26262, ASPICE), edge AI inference, and Qualcomm AI frameworks.

ByteDance seeks a Research Scientist Graduate with a PhD to work on multimedia standards, specifically image/video coding and processing. The role requires proficiency in Python and PyTorch for research and development.…See more This is an entry-level research position within ByteDance's Global Frontier Tech Recruitment Program, starting in 2027.

Lead a team of engineering managers and software engineers building distributed agentic systems and AI-powered developer platforms at ServiceNow. You'll drive technical strategy for highly scalable, fault-tolerant systems; mentor teams; and architect foundational capabilities that improve developer experience for AI-first development.…See more This role requires 8+ years of software engineering experience with proven distributed systems expertise, 3+ years managing high-performing teams, and deep hands-on knowledge of Node.js, TypeScript, Kubernetes, and cloud-native infrastructure.

Join ByteDance's multimedia research lab as a Research Scientist to analyze, model, and optimize large-scale streaming systems serving billions of users. You will design novel algorithms and architectures for next-generation immersive media formats (360-degree video, volumetric video, light field), develop QoE evaluation metrics and methodologies, and conduct research at the intersection of multimedia, distributed systems, and networking.…See more Success requires a PhD in Computer Science, Electrical Engineering, or related discipline; strong fundamentals in algorithms, data structures, systems, and networking; and a proven publication track record in multimedia, networking, or systems research.

This contract role involves designing and maintaining clinical data pipelines that ingest, transform, and validate healthcare datasets while ensuring HIPAA compliance and data quality. The engineer will collaborate with clinical and analytics teams to understand data requirements, implement quality checks, manage data lineage for audit purposes, and prepare optimized datasets for reporting and statistical analysis.…See more The position requires 5–10 years of data engineering or clinical data management experience, strong SQL proficiency, expertise in data quality validation, and familiarity with regulated healthcare environments.

Principal-level individual contributor role leading AI/ML architecture and engineering strategy at scale. Requires 13+ years across ML, data engineering, and distributed systems, with 3+ years shipping production Generative/Agentic AI systems.…See more Hands-on expertise in RAG, vector databases, LLM optimization, agentic orchestration, and MLOps/LLMOps practice. Will set technical direction, own architecture decisions, drive platform initiatives, and raise engineering standards across the organization without direct people-management responsibility.

Enterprise Data & Analytics Architect responsible for designing and developing SQL Server databases, data warehouses, and ETL pipelines using SSIS/Azure Data Factory. The role requires 8–10 years of experience in OLAP/OLTP environments, expert SQL Server knowledge, and proficiency in enterprise reporting (SSRS, Power BI).…See more Candidates will oversee data engineering, BI development, and data science initiatives; mentor developers; and maintain compliance with company policies and federal regulations.

Engineering Lead responsible for designing, developing, and deploying production ML models for live trading environments while leading day-to-day technical execution across the engineering team. You will work with leadership to shape the research agenda, mentor engineers, drive adoption of AI tools to accelerate engineering workflows, and build/improve core ML infrastructure including data pipelines, training workflows, and inference systems.…See more The role requires 4–6 years of applied ML/AI experience with 1–2 years leading technical projects or teams, strong proficiency in Python and PyTorch, and a track record of shipping ML systems where model performance directly impacts business outcomes.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices while providing technical mentorship in PySpark, SQL, dbt, and Fivetran. Design and optimize scalable, reliable data infrastructure across cloud and on-premise ecosystems (AWS, GCP, Azure) using Databricks, BigQuery, and Snowflake.…See more Manage end-to-end data sourcing, processing, integration, and delivery projects to meet business objectives and predetermined success criteria. Require 10+ years managing Data Engineering teams and 7+ years working with cloud-native data platforms and advanced SQL/Python/PySpark expertise.

Lead end-to-end model optimization and transformation for large language models, vision language models, diffusion, and multimodal models on Qualcomm inference accelerators. Architect PyTorch-based optimization strategies, drive graph capture and deployment using PyTorch/ONNX/torch.compile, and design fusion kernels using Triton or similar DSLs.…See more Partner with compiler, performance, and accuracy teams to co-design lowering strategies, optimize transformer-specific patterns (KVcache, decoding, long context), and scale distributed inference across multi-core and multi-device systems. Requires expert-level PyTorch proficiency, deep transformer architecture knowledge, hands-on experience with torch.compile/TorchDynamo, and strong foundation in ML accelerators and distributed systems.

As a Staff AI Engineer, you will lead the design and evolution of Teradata's enterprise AI platforms, owning architecture decisions for agentic AI, LLM systems, RAG pipelines, and vector stores. You will operate with high autonomy, partner with product and architecture leadership, and drive technical strategy across multiple engineering teams.…See more The role requires 8+ years building backend services, distributed systems, or data/AI platforms, with strong proficiency in Java, Go, or Python and deep expertise in distributed system design, cloud-native architectures, and production AI systems. You will also mentor senior engineers, establish engineering standards, and serve as a technical escalation point for complex system design and reliability challenges.

Senior System Analyst supporting Qualcomm's IT supply chain planning operations, primarily delivering and maintaining Kinaxis Maestro/RapidResponse solutions. Responsibilities include workbook authoring, data modeling, Java-based scripting, system troubleshooting, solution testing, and end-user support for demand and supply planning analytics.…See more The role requires deep knowledge of supply chain processes (S&OP, forecasting, capacity planning, inventory optimization) and collaboration with software developers and global business teams to implement custom functionality and operational support.

Lead a data engineering team responsible for building scalable data pipelines, trusted datasets, and reusable data products powering analytics, experimentation, and AI across Scribd. This role blends technical leadership with hands-on architecture guidance; you'll establish engineering standards, drive design reviews, mentor engineers, and partner cross-functionally to translate business needs into production-grade data solutions.…See more Requires 10+ years in data engineering or data platforms, 3+ years leading engineering teams, deep expertise in dimensional modeling and scalable data architectures, and strong SQL plus Python/Scala skills. You'll work with modern cloud data platforms like Databricks, Snowflake, and BigQuery, and distributed processing frameworks like Spark.