data-science jobs in San Diego

Installation Analyst I will support Navy C4I modernization programs by managing installation planning, configuration, and fielding processes. Responsibilities include tracking schedules, milestones, and deliverables; preparing status reports and briefing materials; maintaining program documentation and risk metrics; and coordinating with stakeholders across government contractor and DoD environments.…See more The role requires proficiency with Microsoft 365 (Word, Excel, PowerPoint, Outlook, Teams, SharePoint, Access) and basic familiarity with Power Platform tools (Power BI, Power Apps, Power Automate), along with strong attention to detail, organizational discipline, and ability to learn government-specific processes.

Senior Staff Systems Analyst responsible for demand planning and capacity strategy, translating technical roadmaps and product schedules into resource and capacity plans. The role requires advanced Excel modeling, business intelligence dashboard development in Tableau or Power BI, and the ability to consolidate multi-stakeholder data into cohesive planning positions.…See more The candidate will prepare budget and capital planning inputs, deliver executive presentations on complex quantitative analysis, and drive decisions with senior leadership and finance partners.

RIVO is seeking a Senior Data Platform Engineer to architect and build a modern enterprise data platform supporting analytics, machine learning, and near real-time processing. You will design the foundational data warehouse or lakehouse architecture, modernize legacy ETL processes, implement CDC-based ingestion and low-latency pipelines, and establish data quality and governance frameworks.…See more This role requires 8+ years of data warehousing or platform engineering experience, expertise in cloud platforms (Snowflake, Databricks, Azure), SQL and Python proficiency, and the ability to support both analytics and data science workloads at enterprise scale.

Design, build, and maintain Python and SQL-based data transformation workflows using Databricks and PySpark for large-scale processing. Analyze datasets to independently identify actionable insights, translate ambiguous data problems into clear analytic solutions, and ensure data quality and governance across pipelines.…See more Collaborate with stakeholders and cross-functional teams to integrate data outputs into downstream applications, troubleshoot pipeline issues, and document architecture and processes.

Design and build Python and SQL-based data transformation workflows using Databricks and PySpark for large-scale processing. Analyze unstructured datasets to independently identify actionable insights, translate ambiguous data problems into clear analytic solutions, and ensure data quality and governance across pipelines.…See more Troubleshoot pipeline issues, document processes and architecture, and partner with cross-functional teams to integrate data outputs into downstream applications and dashboards.

Design and build production ETL/ELT pipelines ingesting data from databases, APIs, applications, and Microsoft 365 sources into Azure Databricks and Power BI. Own code quality, CI/CD automation, testing strategies, monitoring, and data validation across development, test, and production environments in Azure DevOps.…See more Develop transformations and curated data products for analytics and AI applications, including secure document ingestion, metadata indexing, and telemetry. Collaborate with business and technical stakeholders to communicate progress, data limitations, and risks while maintaining runbooks and technical documentation.

This role involves implementing, validating, and securing AI platform security features across AMD's hardware, firmware, and software stack. You will conduct security assessments, develop and verify security fixes, manage cryptographic keys and device identities, and provision secure boot and attestation mechanisms.…See more The position requires hands-on experience securing systems across hardware-firmware-software integration, proficiency in C/C++ and scripting, and familiarity with GPU/accelerator platforms, confidential computing, and trusted execution environments. You will partner with architecture, firmware, and software teams to resolve security issues and apply AI-assisted tooling to accelerate remediation and testing.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training a multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated quality-control workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agentic patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Qualcomm's Data Center Business Unit seeks a Senior Embedded Software Engineer to design and develop software/firmware solutions for cloud edge and data center ML workloads on high-performance silicon. The role focuses on ML acceleration, memory management, virtualization, and board support packages (BSP), with deep expertise required in embedded Linux, device drivers, RTOS, secure boot, TrustZone, and low-speed peripherals (I2C/SPI/UART).…See more You will collaborate across internal and cross-functional teams to advance critical technologies including process-in-memory and efficient data movement via DMA. The position requires 2+ years of low-level C programming experience and a strong foundation in SoC architecture, multi-threaded programming, and embedded development tools.

Design, build, and deploy intelligent AI agents and agentic process automation solutions using Snowflake Cortex (Agents, Analyst, Search) and Microsoft Azure. Work hands-on with clients to identify high-value AI use cases, architect scalable solutions integrated with existing infrastructure, develop POCs and pilot projects, and provide technical leadership.…See more Requires 5+ years of AI/ML solution architecture experience, deep expertise in Snowflake Cortex platform, agentic automation design, and Azure/Power Platform.

Principal Data Platform Engineer responsible for designing and implementing cloud-native data integrations using AWS services (S3, Glue, Lambda) and Snowflake. Builds and maintains data transformation models using dbt, manages Snowflake platform infrastructure, and leads cross-functional collaboration between engineering, analytics, and business teams.…See more Requires 8+ years in data engineering or data platform roles with expert-level Python, SQL, dimensional modeling, and infrastructure-as-code expertise. Acts as a technical mentor and translates business requirements into data architecture priorities.

Build and scale evaluation harnesses and automation to measure how well AI-powered software development tools perform. You'll develop reproducible benchmarking systems, validate evaluation approaches against human judgment, and analyze results across repeated runs to identify variance, failure patterns, and optimization opportunities.…See more The role requires strong software engineering expertise in automation and testing, proficiency in Python and at least one other language (Java, JavaScript), and solid knowledge of Git, Docker, CI/CD pipelines, and AI/LLM evaluation methodologies.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for the Enchant multimodal transformer model. You will develop LLM-based agents that generate reproducible data pipeline code, implement automated quality-control workflows, and maintain distributed pipelines in production.…See more The role combines strong software engineering with scientific understanding of biomedical data formats and ETL design, working at the intersection of LLM automation and data engineering.

A Forward Deployed AI Engineer who builds and deploys production AI/ML and Generative AI applications, particularly agentic workflows and RAG systems integrated with enterprise data and business systems. The role requires 6+ years of software/ML/AI engineering experience, advanced Python proficiency, hands-on expertise with LLMs, modern GenAI frameworks (LangChain, LangGraph, LlamaIndex), and cloud platforms (Azure, AWS, GCP).…See more You'll own solutions from prototype through production, working directly with product and business stakeholders to identify where AI creates value, troubleshoot integration issues, and drive continuous improvement.

Senior Developer on Dell's Office of the CTO team responsible for developing new AI applications from concept to production. You'll work across the full stack in small cross-functional teams, rotating through projects involving generative AI, data engineering, and MLOps.…See more The role requires solid programming fundamentals, experience or strong interest in DevOps/XP practices (microservices, CI/CD, containerization), and proficiency in languages like Python, Go, Java, C++, or JavaScript.

Design and evolve enterprise network architectures for a large university, including wired, wireless, core, WAN/Internet, data center, and cloud-connected networks. Lead complex infrastructure projects from requirements through deployment, serve as technical escalation resource for routing, switching, and connectivity issues, and develop network standards and runbooks.…See more Mentor junior engineers and evaluate emerging networking, cloud, wireless, automation, and security technologies. Required expertise in large-scale enterprise networks, advanced routing/switching (BGP, OSPF, IPv4/IPv6), enterprise platforms (Aruba, Palo Alto Networks, Infoblox, ClearPass), network observability, and project leadership.

Senior Developer role focused on developing new AI applications from concept to production within Dell's Office of the CTO. You'll work on small cross-functional teams using pair programming and agile methodologies, rotating through different projects and technologies across the full stack.…See more Required: strong programming fundamentals, proficiency in Go, Python, Java, JavaScript, C++, Bash, or similar languages, plus interest in DevOps practices (microservices, CI/CD, containerization), generative AI, and MLOps. Desired: 5+ years of software development experience, data engineering skills, and familiarity with GenAI frameworks like LangChain.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training the Enchant multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated QC workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agent patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Join Sony Interactive Entertainment's D2C Data Science team to support PlayStation's payment and subscription experiences through statistical analysis, A/B testing, and machine learning. You will own analyses of payment success, subscription recovery, and payment flow optimization, building models for forecasting, segmentation, and propensity while translating complex data into actionable recommendations for product and engineering teams.…See more The role requires strong SQL and Python skills, solid statistics and experimental design knowledge, and the ability to work independently on well-scoped analyses while communicating findings clearly to both technical and non-technical stakeholders.

This role designs and governs enterprise data architectures across SQL, NoSQL, and cloud platforms for a financial institution. The Data Architect will establish data standards, lead golden-record and SSOT initiatives, architect ETL/ELT pipelines, manage data quality and governance frameworks, and oversee database platform strategy (SQL Server, Azure SQL, Snowflake, MongoDB Atlas, Cosmos DB).…See more The position requires 12+ years of progressive experience, deep cloud data platform expertise, SQL and Python proficiency, and demonstrated leadership guiding engineering teams through enterprise modernization and compliance-driven initiatives.

Senior Enterprise Data Engineer role requiring 5+ years designing and developing OLTP/OLAP databases, ETL/ELT pipelines using SSIS, Azure Data Factory, or Python, and enterprise reporting solutions with Power BI and SSRS. Must have advanced SQL Server expertise, strong data warehousing and dimensional modeling knowledge, and experience in Agile environments.…See more Preferred qualifications include Azure data platforms (Synapse, Data Lake, Fabric), Databricks, Apache Spark, Azure DevOps, and CI/CD practices.

The Technical Operations Analyst supports manufacturing operations through operational analysis, data interpretation, project coordination, and process improvement. The role analyzes production, quality, cost, and performance data to identify trends and inefficiencies; develops KPIs, dashboards, and management reports; and coordinates cross-functional initiatives across operations, engineering, quality, and purchasing.…See more The analyst translates technical and manufacturing information into business metrics and decision-support materials, supporting continuous improvement and corrective-action activities.

Director-level role leading AI/ML engineering strategy and execution across Optum's healthcare technology organization. You will define the roadmap for LLM engineering, generative AI systems, and agentic workflows; lead and mentor a team of 10+ AI/ML engineers, software developers, and MLOps specialists; architect scalable multi-cloud AI solutions spanning AWS and Azure with .NET/C# services; and champion ethical AI governance and production-grade model deployment practices.See more

As an Azure Cloud and AI Developer, you'll design, develop, and deploy cloud-native applications on Microsoft Azure while building AI-powered solutions using Azure OpenAI, Azure AI Services, and Azure Machine Learning. You'll create secure integrations between Azure applications and enterprise platforms, drive intelligent automation initiatives, and maintain CI/CD pipelines using Azure DevOps.…See more The role requires 3+ years of application development experience with at least 1 year hands-on with Azure, strong proficiency in C#/.NET/Python, REST APIs, Git-based source control, and secure coding practices in a regulated financial services environment.

Build and test agent behavior for an AI-driven service, including test case design and evaluation checks distinct from traditional software testing. Support data ingestion pipelines using AWS and BigData tools (PySpark, Airflow), collaborate with product and senior engineers to ship features, and contribute to production support (monitoring, alerting, incident response).…See more Requires 1–2 years of software engineering experience, a Master's in Computer Science or related field, proficiency in Python or another backend language, SQL/NoSQL fundamentals, basic REST API design, and hands-on experience with at least one LLM project (tool calling, chaining, retrieval, or multi-step coordination). Self-directed learner excited about AI tooling and focused on shipping end-to-end products.