statistical-modeling jobs in San Diego

Design and engineer novel enzymes using AI/ML and computational biology approaches. Apply protein language models, generative design methods, and structure-based machine learning to predict and optimize enzyme function.…See more Develop bioinformatics pipelines, analyze high-throughput screening and sequencing data, and create reusable tools and dashboards for cross-functional protein engineering teams. Requires 5+ years of related experience (or equivalent with advanced degree) and practical expertise in AI/ML applied to protein engineering.

Director of Software Engineering for the Healthcare Workforce Intelligence (HWI) platform at AMN Healthcare, responsible for leading and developing a multi-disciplined engineering team. Oversees the technology roadmap for the Vendor Management Systems software, drives efficient development workflows using Agile/Kanban/Waterfall methodologies, and ensures quality goals are met.…See more Participates in all aspects of the SDLC including requirements analysis, technical design, development, testing, deployment, and production support. Manages legacy system modernization, vendor relationships, and on-call support escalations.

Senior AIS Analyst role overseeing Navy logistics IT systems, conducting functional analysis, operational research, and audits to support fleet readiness and supply operations. Responsibilities include testing and reviewing logistics applications (NTCSS, NOBLE, Navy ERP, etc.), system administration, user access management, troubleshooting Tier 2 support issues, and supporting data science initiatives involving machine learning and statistical modeling.…See more The role requires managing subordinate AIS analysts, coordinating cross-functional requirements generation and business process reengineering, and ensuring database accuracy and compliance with cybersecurity standards.

Join Amazon Private Brands' Selection Guidance team as a Data Scientist II to develop generative AI, machine learning, and statistical solutions for product assortment and business decisions. You will investigate business problems, invent novel solutions and prototypes, and guide other scientists on their designs and implementations.…See more Current research areas include named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models. You'll partner with business stakeholders, perform data analysis and build pipelines, deploy production software, and publish research across Amazon.

As an Applied AI & Optimization Engineer, you will own optimization algorithms and ML systems for a manufacturing intelligence platform spanning planning, simulation, and AI assistance. You'll design scheduling and resource-allocation solvers, build analytics layers for operational intelligence, and lead LLM integration for both cloud and air-gapped DoD deployments.…See more The role requires 5+ years shipping production optimization or ML systems, deep Python proficiency, hands-on experience with MILP/constraint solvers or OR-Tools, and strong applied math skills in combinatorial optimization and statistical modeling.

Senior Manager leading R&D strategy for digital health and AI/ML solutions in neuropsychiatry at a major pharmaceutical company. The role spans developing and validating digital endpoints, patient stratification approaches, and clinical trial optimization using advanced statistical modeling, multimodal data integration (digital phenotyping, speech/language analytics, imaging, biomarkers, omics), and longitudinal analysis.…See more Requires 6+ years in pharma/biotech analytics with demonstrated expertise in clinical development, digital health technologies, biostatistics, and machine learning; PhD or MD in a quantitative or clinical field preferred. Reports to senior leadership, partnering cross-functionally with clinical operations, regulatory affairs, and external collaborators to advance digital health standards and support regulatory qualification of novel endpoints.

The Senior BI Developer & Commercial Analyst owns and modernizes the Commercial Insights & Analytics team's Power BI environment, including semantic models, DAX, Power Query, and reporting infrastructure. The role involves migrating legacy Qlik dashboards and Excel reports to Power BI, rebuilding the commercial data layer in Databricks, and delivering ad hoc analysis, forecasting, and market insights for strategic commercial initiatives.…See more Strong technical skills in Power BI, SQL, Databricks, and DAX are required, along with the ability to translate business needs into reliable, fast, and accurate reporting solutions. The position demands comfort with ambiguity, accountability, and the ability to move quickly without sacrificing data integrity.

Senior BI Developer & Commercial Analyst role centered on owning and modernizing the Commercial Insights & Analytics Power BI environment, including semantic models, DAX, and Power Query. The role involves migrating legacy Qlik dashboards to Power BI, rebuilding the commercial data layer in Databricks, and delivering ad hoc analysis and forecasting for strategic initiatives.…See more Requires 3–5 years of BI/commercial analytics experience, strong Power BI and SQL expertise, hands-on Databricks work, and comfort with AI-enabled workflows and automation.

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.

As an Applied AI & Optimization Engineer, you will own optimization algorithms and ML systems powering Firestorm's manufacturing intelligence platform, including scheduling, resource allocation, and constraint satisfaction for a planning workbench and simulation engine. You'll design analytics layers for defect trends and operational intelligence, lead integration of open-source and custom LLMs for cloud and edge deployment in DoD contexts, and productionize algorithmic systems alongside full-stack and infrastructure teams.…See more The role requires 5+ years of applied optimization, operations research, or ML systems experience with deep Python proficiency, fluency in optimization frameworks (MILP solvers, OR-Tools), and a proven track record shipping production systems—not prototypes—to real users. You'll partner with manufacturing domain experts to translate operational constraints into model formulations.

Senior individual contributor responsible for end-to-end demand forecasting across Intuit's Global Business Solutions Group portfolio. Build and maintain predictive models incorporating time-series analysis, regression, causal inference, and ML techniques to translate business signals into accurate, decision-ready demand forecasts at multiple granularities.…See more Conduct A/B/n experiments to validate modeling choices, quantify forecast risk through scenario analysis, and act as trusted partner between technical teams and business stakeholders (Workforce Management, Capacity Planning, Finance, Marketing, Product) to ensure forecasts drive downstream capacity and expense planning. Continuously advance forecasting methodology, evaluate where AI/ML meaningfully improves accuracy, and support real-time in-season re-forecasting and analytics.