1670 Statistical Modeling jobs in Edmonds, WA

Strong proficiency in SQL
Bachelor's degree in Computer Science, Software Engineering, or related field
This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.
4+ years of experience in data engineering or software engineering with a focus on data transformation, modeling, or analytics platforms
Experience working with large-scale datasets and optimizing transformation pipelines for performance and maintainability
Experience building and scaling wide, entity-based tables and modeling domain concepts (e.g., customer, fleet, provider) into durable data objects
At least one general-purpose language such as Python or Scala
Solid understanding of data quality practices—including validation, enrichment, schema enforcement, and business rule encoding
A Master's or PhD in the areas of Data Science, Machine Learning, Artificial Intelligence, Computer Science, or Statistics, it will be a big plus

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.

Lead Data Scientist, Ad Research

Disney Entertainment and ESPN Product & Technology Careers

Seattle, WA 98115

$155,700-$208,700/yr

New, Posted 1 day ago

Recommended

Quantitative Researcher

Inspyr Solutions

Redmond, WA 98052

$50-$70/hr

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.