1670 Statistical Modeling jobs in Edmonds, WA

      Recommended
      Foundation Models Researcher (ML & AI)

      Apple, Inc.

      Seattle, WA 98115

      ~ 21 min OnsiteHealth Insurance

      • Machine Learning Researcher
      • Expertise in deep learning
      • Proficient Python programming
      • Foundation Models
      • Preferably a PhD in a related field
      SmartExplore AI is experimental.
      Recommended
      Simulation Scientist, Amazon Logistics, Worldwide Engineering and Innovation North American Sortation and Ultrafast Engineering

      Amazon

      Bellevue, WA 98006

      $136,000/yr
      ~ 34 min Onsite

      • Experience analyzing both experimental and observational data sets
      • PhD, or Master's degree and 4+ years of quantitative field research experience
      • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
      SmartExplore AI is experimental.
      Senior Software Engineer -ML & AI Innovation

      Ll Oefentherapie

      Seattle, WA 98115

      Paid Relocation to Seattle, WA

      Remote

      • Have deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines.
      • Strong programming skills and proficiency in major deep learning frameworks.
      • Experience with Machine Learning and Deep Learning concepts, algorithms and models
      • Expertise in modern container networking and storage architecture.
      • Experience with parallel computing frameworks and paradigms.
      • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field (or equivalent experience).
      • Proficiency with orchestration and containerization tools like Kubernetes, Docker, or similar.
      • Expertise in orchestrating, running, and optimizing large-scale distributed training/inference workloads
      SmartExplore AI is experimental.
      Recommended
      Staff Data Analyst

      Medium

      Seattle, WA 98115

      RemoteHealth InsurancePaid Time OffRetirement Benefit

      • Strong knowledge of BI tools such as Tableau, Looker, Power BI, or Knowi, including building scalable analytics environments
      • 8+ years of experience in advanced data roles (Data Analyst, Analytics Engineer, BI Architect, or equivalent) with proven impact in complex, high‑growth organizations
      • Deep understanding of healthcare data ecosystems, including CMS data, clinical workflows, value‑based care models, and regulatory compliance
      • Proven ability to translate ambiguous business questions into structured analytical plans and actionable insights
      • Proven track record of delivering measurable business and clinical impact through data‑driven decision‑making
      • Demonstrated experience mentoring data professionals and implementing analytical best practices at scale
      • Exceptional communication and presentation skills—capable of influencing C‑level stakeholders and cross‑functional teams
      • Hands‑on experience designing and maintaining production‑grade data models within Snowflake, BigQuery, or Redshift environments
      • Expert‑level SQL proficiency and experience building transformation pipelines using dbt or equivalent modern data stack tools
      SmartExplore AI is experimental.
      Recommended
      Thermal Protection System Materials Informatics Engineer

      Blue Origin, LLC

      Seattle, WA 98115

      • Proficiency in Python for scientific computing and data analysis (e.g., numpy, pandas, matplotlib or similar)
      • Application of machine learning or advanced data analysis to materials, chemistry, or other physical science problems
      • You need to have in‑depth knowledge or expertise in at least ONE of the following areas:
      • Ability to read and interpret technical materials literature (e.g., property data, degradation mechanisms, processing–microstructure relationships)
      • Hands‑on experience with at least one machine learning or data‑analysis library (e.g., scikit‑learn, PyTorch, TensorFlow, or similar) from coursework, projects, or research
      • Exposure to high‑temperature materials, thermal protection systems, ceramics, composites, or related domains through coursework, projects, research, or internships
      • Working understanding of basic ML concepts: regression, training/validation splits, overfitting/underfitting, and model evaluation metrics
      • High‑temperature materials or TPS materials and their performance/degradation mechanisms
      • Bachelor's degree in Materials Science and Engineering or other relevant fields (e.g., Ceramic Engineering, Metallurgical Engineering, Mechanical Engineering, Chemical Engineering, Applied Physics)
      • OR Bachelor's degree in Computer Science, Data Science, Electrical Engineering, or related field with demonstrated exposure to materials or physical sciences
      • Familiarity with structure–processing–property relationships in materials
      • Strong written and verbal communication skills; ability to explain technical topics to audiences
      • Handling and interpreting complex experimental or simulation datasets (e.g., multi‑parameter test matrices, time‑dependent response data, or multi‑fidelity data from experiments and modeling)
      SmartExplore AI is experimental.
      New, Posted 1 day ago
      AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN

      Ernst & Young Oman

      Seattle, WA 98115

      RemoteHealth InsurancePaid Time OffRetirement Benefit

      • Experience with model and solution monitoring and reporting.
      • 3‑6 years of full‑time working experience in AI and/or Machine Learning.
      • Experience designing, building, and maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform.
      • Experience with model retraining and feedback loop methodologies.
      • Understanding of data structures, data modelling, and software engineering best practices.
      • Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions.
      • Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.
      • Experience with natural language processing and deep learning.
      • Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit‑learn and PyTorch.
      • A Bachelor's degree required (4‑year degree).
      • Strong skills in Python.
      • Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
      • Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.
      SmartExplore AI is experimental.

      Recent Searches

        Browse Jobs in Top Cities

        Browse Jobs by State

        Browse Jobs by Title

        Post a Job

        About

        Advice

        Contact

        © 2026 Jobs2Careers. All rights reserved.

        Privacy Policy

        Terms of Use

        Your Privacy ChoicesCalifornia Consumer Privacy Act (CCPA) Opt-Out Icon

        Logos provided by Logo.dev

        Jobs2Careers Powered by Talroo

        Privacy PolicyTerms of Use, and Your Privacy Choices