statistics jobs in San Diego

Senior AI/ML Engineer responsible for shipping end-to-end production ML systems that enable autonomous medical coding in a SaaS platform. Will design robust ML architectures with low-latency inference, build reliable data and model pipelines using modern MLOps practices (CI/CD, model registries, experiment tracking), establish evaluation strategies with statistical rigor, and implement model observability and governance including drift detection and bias assessments.…See more Requires 5+ years of industry experience building and operating ML systems in production, 3+ years with C# or Python, 3+ years on Azure, and 1+ years of LLMOps expertise including prompt engineering and RAG.

As a Development Sr Engineer II, you will serve as a design owner and project manager for new medical device product design, development, and commercialization in the orthopedic/arthroplasty space. You will translate user needs from surgeons into design requirements, create CAD models and design documentation, conduct design verification/validation testing, and support regulatory and manufacturing teams through product launch.…See more The role demands expertise in parametric CAD modeling, finite element analysis, design of experiments, and medical device regulations and standards.

Data Analyst role focused on supply chain performance and insights at a global medical device company. The analyst will build dashboards and reporting solutions using Tableau/Power BI, query large datasets with SQL, and develop self-service and AI-enabled analytics capabilities to support distribution, logistics, and supply chain stakeholders across multiple regions.…See more The role requires 3+ years of analytics experience, strong Excel and SQL skills, demonstrated AI literacy, and the ability to translate business questions into actionable insights. Candidates should be comfortable supporting global teams across time zones and identifying operational trends that drive decision-making.

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 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.

Supervisory Engineer/Computer Scientist role within Naval Information Warfare Systems Command's Cyberspace Workforce program, focused on program management at the basic proficiency level. The position requires a bachelor's degree in computer science or equivalent engineering background with demonstrated expertise in mathematics and statistics.…See more Incumbent must obtain and maintain DoDM 8140.03 Cyber Workforce Qualification and comply with Department of Navy policies.

As a Staff Machine Learning Engineer focused on model optimization, you will create and implement ML techniques, frameworks, and tools enabling efficient discovery and deployment of state-of-the-art ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, develop optimized inference/training software and compiler tools, and collaborate with cross-functional teams on joint hardware-software design.…See more The role requires 4+ years of hardware/software/systems engineering experience (or equivalent with advanced degree), deep expertise in ML frameworks (TensorFlow, PyTorch, Keras, Caffe), embedded systems optimization, and programming languages like Python or C++. You will work independently with minimal supervision, provide technical guidance to team members, and influence key organizational decisions through consultation with senior leadership.

Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training, validation, and performance optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) for radar data analysis and optimize models for real-time embedded deployment under latency, memory, and power constraints.…See more Bridge research and production by translating state-of-the-art ML techniques into scalable algorithms for radar-based detection, classification, and tracking, with strong requirements in signal processing, statistical analysis, and Python/PyTorch/TensorFlow proficiency.

Join Booz Allen's competitive Summer Games internship program as a software developer intern, working in teams to solve complex, real-world challenges for government customers. You'll apply programming skills in Java, JavaScript, C, C++, Python, or similar languages alongside machine learning, data mining, or graph algorithms to develop breakthrough solutions.…See more The program includes mentorship from senior leaders, technical documentation and design artifact creation, and culminates in a final Challenge Cup competition and presentation. You must be scheduled to graduate with a Bachelor's degree in Technology, Engineering, or Mathematics by Summer 2028 or 2029, and be able to obtain a Secret clearance.

Join an innovative summer internship program where you'll work in teams on real-world technical challenges for government and commercial clients. You'll apply programming skills (Java, JavaScript, C, C++, Python, etc.) and experience with machine learning, data mining, or graph algorithms to develop software solutions, produce technical documentation, and present findings to senior leadership.…See more The program simulates a startup accelerator environment with mentorship, collaboration, and a final competition-style presentation.

Join Booz Allen's competitive Summer Games internship program as a software developer, working in teams to solve complex, real-world problems for government and commercial customers. You'll apply programming skills (Java, JavaScript, C, C++, Python, etc.) and experience with machine learning, data mining, or algorithms to develop breakthrough solutions, produce technical documentation, and present your work to senior leadership.…See more The program simulates a startup accelerator environment with mentorship, collaboration, and culminates in a Challenge Cup competition.

As an AI Performance Engineer at Qualcomm, you will create and implement machine learning techniques, frameworks, and tools for efficient discovery and deployment of ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, optimize software for AI model deployment on hardware (kernels, compilers, model efficiency tools), and develop ML techniques into products.…See more You will conduct experiments to train and evaluate ML models, work independently with minimal supervision, and provide technical guidance to team members. The role requires 4+ years of hardware/software/systems engineering experience, proficiency with ML frameworks (TensorFlow, PyTorch, Keras), embedded systems optimization, and programming languages suited for ML (Python, C++, R).

As an LLM Engineer at Qualcomm, you will create and implement machine learning techniques, frameworks, and tools for efficient discovery and deployment of ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, develop optimized software for AI model deployment (kernels, compilers, model efficiency tools), and lead ML technique application into products.…See more You will work independently with minimal supervision while providing technical guidance to team members and collaborating across cross-functional teams on joint hardware-software design.

As a Machine Learning Engineer at Qualcomm, you will develop and optimize machine learning frameworks, tools, and algorithms for deployment across mobile, edge, automotive, and IoT products. You will collaborate with cross-functional teams to design hardware-software co-optimized solutions, build efficient inference and training systems, and create ML kernels and compiler tools.…See more The role requires proficiency in ML frameworks (TensorFlow, PyTorch, Keras), embedded systems optimization, and programming languages like Python or C++, with experience in problem domains such as NLP or multimedia.

Design, build, and operate production ML systems across the full lifecycle—from data preparation and model training through deployment, monitoring, and continuous improvement. Partner with data scientists, software engineers, and platform teams to turn research prototypes into reliable, scalable services.…See more Work across recommendation, ranking, forecasting, classification, NLP, and generative AI depending on product priorities. Balance model quality, inference latency, scalability, and operational resilience as equally important outcomes.

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.

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.

The Senior Machine Learning Engineer will design and develop advanced ML models for automotive radar signal processing, including end-to-end pipelines from data preprocessing through model training and optimization. The role requires expertise in deep learning architectures (CNNs, RNNs, Transformers), radar signal analysis, and deploying models for real-time embedded systems with constraints on latency, memory, and power.…See more Responsibilities include evaluating state-of-the-art ML techniques, optimizing models for production, and translating research into scalable algorithms. The position demands a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong proficiency in Python and frameworks like PyTorch or TensorFlow, and foundational knowledge of radar fundamentals.

The Senior Data Operations Analyst owns operational and quality metrics for a robotics platform, defining, documenting, and validating data across the organization. The role requires hands-on SQL analysis in BigQuery, dashboard design in tools like Grafana and Looker, and fluency in Python for automation.…See more The candidate will partner with engineering and product to translate business questions into structured analyses, surface monitoring signals proactively, and build repeatable KPI frameworks that scale decision-making across teams.

Design, develop, and maintain software solutions that interface with coordinate measuring machines (CMMs) and metrology systems for advanced fabrication and inspection workflows. Integrate CMM equipment with internal databases, MES, PLM, and ERP systems; develop automation routines, reporting dashboards, and data visualization tools; and troubleshoot metrology software and system issues.…See more Requires 5–10 years of software engineering experience with hands-on CMM and metrology background, proficiency in C#, C++, Python, or similar languages, SQL/NoSQL database experience, and working knowledge of GD&T (Geometric Dimensioning and Tolerancing).

Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training and optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) applied to radar data in time-domain, frequency-domain, and range–Doppler representations.…See more Optimize models for real-time embedded deployment under latency, memory, and power constraints, and translate research outcomes into scalable, production-ready algorithms. Requires a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong radar and signal processing fundamentals, and proficiency in Python, PyTorch/TensorFlow, and cloud platforms.

Develop software for the Qualcomm AI Stack SDKs (QAIRT and Genie) to enable execution of generative AI models and large language models on Snapdragon platforms. You will validate, optimize, and debug machine learning inference solutions, collaborating with cross-functional teams on feature development, performance analysis, and system reliability.…See more The role requires expertise in machine learning frameworks, embedded systems optimization, programming languages like Python or C++, and low-level OS/hardware interactions.

Senior Engineer, Machine Learning at Element Biosciences will design, develop, and optimize deep learning models (CNNs, Vision Transformers, U-Net) for biological image analysis and deploy them to production on AWS or imaging instruments. Responsibilities include building end-to-end ML pipelines from data ingestion through inference, applying advanced image processing and computer vision techniques to multimodal biological images, and analyzing single-cell and multiomic data.…See more The role requires 5–7 years of experience with a Master's degree (or 0–3 years with a PhD) and hands-on proficiency in PyTorch, Python, and cloud deployment, with strong preference for experience in biomedical image modalities.

Leidos seeks a Sensing Algorithm Engineer to research, develop, and implement novel algorithms for remote sensing applications. The role involves prototyping algorithms in Matlab or Python, implementing efficient C software, conducting performance testing and analysis, and documenting results for customers.…See more The ideal candidate has a BS/MS/PhD in physics, engineering, or mathematics with 4–8 years of experience, fluency in high-level languages, strong signal processing knowledge, and understanding of probability, statistics, linear algebra, and physics. The position requires an active Top Secret security clearance and full-time on-site work in San Diego, CA.

Staff-level quality engineer responsible for new product introduction (NPI) of semiconductors and PCIe/server infrastructure for AI data centers. Will represent quality engineering across core development teams, drive reliability and supplier readiness, manage AQL sampling and non-conforming material disposition, and own product quality end-to-end from development through high-volume manufacturing.…See more Must lead corrective actions, supplier qualification, and risk mitigation while interfacing with customers and suppliers. Requires bachelor's degree in computer science or electrical engineering with 4+ years of hardware engineering experience (or equivalent advanced degree with less experience).