1012 Statistical Modeling jobs in Duvall, WA

New, Posted 10 hours ago

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Experienced or Senior Product Security Engineer Product Security Model Based System Engineer

Boeing

Snohomish, WA 98291

~ 30 min OnsiteHealth InsuranceRetirement Benefit

Level 3: 5+ years of related work experience or an equivalent combination of education and experience
Level 4: 9+ years of related work experience or an equivalent combination of education and experience
Experience with Model Based Engineering tools and languages such as Enterprise Architecture, Cameo, MagicDraw, UML/SysML, 3DX, CATIA
Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
Experience with analysis of requirements, architecture, design, and product design
Experience with system security engineering or systems engineering

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Program Manager with Strong Financial Modeling, Insights and Analytics Skills

Artemis Connection

Seattle, WA 98115

Remote

Solid understanding financial modeling and tooling, insights and analytics
Strong proficiency in SQL
Strong analytical, problem-solving, and communication skills
BA/BS or higher

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Automotive Tool Sales/Route Manager - Full Training

Mac Tools

Seattle, WA 98115

Urgently HiringFlexible Schedule

Financial strength is a key factor in our franchise approval process
Strong credit profile
Initial down payment

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New, Posted 1 day ago

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AI Engineering/Data Scientist – Summer 2027 Internship

NLP PEOPLE

Seattle, WA 98115

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Sr Data Scientist, Marketplace Quality Engineering

The Trade Desk

Bellevue, WA 98006

Education AssistancePaid Time OffRetirement Benefit

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Lead Data Scientist, Ad Research

Disney Entertainment and ESPN Product & Technology Careers

Seattle, WA 98115

$155,700-$208,700/yr

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Zappos Data Scientist III, Zappos/Shopbop Catalog Engineering

Amazon

Seattle, WA 98115

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Grocery Delivery Driver

DoorDash

Duvall, WA

OnsiteFlexible Schedule

18+ years old
Any car, scooter, or bicycle
Social security number
Consistent access to a smartphone
Driver's license number
21+ to deliver alcohol

SmartExplore AI is experimental.

Senior Software Engineer, Quantized Inference

NVIDIA Corporation

Redmond, WA 98052

Paid Relocation to Redmond, WA

Remote

Demonstrated ability to move fast with ambiguous requirements, with strong written and verbal communication
Proficient in Python; familiarity with C++
Familiarity with PyTorch internals (custom ops, autograd, export) or equivalent framework
MS/PhD in Computer Science or related field, or equivalent experience.
4+ years in a relevant software engineering role
Experience with ML accelerators with a basic understanding of how certain ML layers affect execution time
Experience reading, modifying, or contributing to a large open-source codebase
Strong software engineering fundamentals: concise, well-tested code; fluent with AI-assisted tooling

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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.