26-27 Part Time Faculty Pool- Environmental Science and Studies (South Seattle College) Seattle Colleges26-27 Part Time Faculty Pool- Environmental Science and Studies (South Seattle College)Seattle, WA$7,703–$8,912The Seattle Colleges are looking for innovative and dedicated faculty members who have a demonstrated commitment to working within a college community that is diverse and serves students from a broad spectrum of socioeconomic and academic backgrounds. We are a district of three distinct colleges: North Seattle College, Seattle Central College, and South Seattle College and five specialty training centers, which makes us the largest and most diverse community college district in the state of Washington.
Regulatory Science and Technical Analyst Lynker CorporationRegulatory Science and Technical AnalystSeattle, WashingtonFull timeOur continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. * This position is advertised through our joint venture, FISH and Lynker Ocean Alliance Team (FLOAT), a partnership between Lynker and Fisheries Immersed Sciences Hawaii (FISH) serving the NOAA ProTech Fisheries 2.0 IDIQ contracting vehicle.
Data Engineer, PXT Central Science AmazonData Engineer, PXT Central ScienceBellevue, WASpecific responsibilities include: - Data Pipeline Development: Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); build monitoring and error handling for data workflows; optimize performance, reliability, and cost efficiency - Model Productionization & API Development: Develop and maintain APIs and data serving layers that productionize science models for downstream consumption; build batch and real-time inference pipelines - Data Integration & Quality: Build scalable feature extraction and processing frameworks for diverse data types; develop robust data quality and validation checks; create flexible schemas supporting evolving requirements - Cross-team Collaboration: Partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions - Analytics & Infrastructure: Maintain layered data systems used by economists and scientists; build automated reporting solutions; work across multiple interconnected AWS accounts with security best practices About the team The Central Science Team within Amazon's People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. USA, CA, San Francisco - 152,000.00 - 205,600.00 USD annually USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
Senior Applied Science Manager, Amazon Sponsored Products & Brands AmazonSenior Applied Science Manager, Amazon Sponsored Products & BrandsSeattle, WABasic Qualifications * M.S. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline * Experience in managing and growing a high-performing and diverse team of both applied scientists and engineers for at least 5 years * Experience in building large-scale machine learning and AI solutions for at least 5 years Preferred Qualifications * Ph. About the team The Advertiser Guidance team sits at the heart of Sponsored Products and Brands, tackling advertising's most complex challenges: how do you guide 1.3+ million advertisers-from first-time sellers to global brands-to create and manage campaigns that drive real business growth?
Economist, PXT Central Science AmazonEconomist, PXT Central ScienceSeattle, WAUSA, CA, SAN FRANCISCO - 157,300.00 - 212,800.00 USD annually USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually USA, MA, BOSTON - 136,000.00 - 184,000.00 USD annually USA, MA, Boston - 136,000.00 - 184,000.00 USD annually USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually Description The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians.
NewDirector, Data Science, Amazon Customer Service Network Solutions Amazon.com IncDirector, Data Science, Amazon Customer Service Network SolutionsSeattle, WAThe ideal candidate brings deep cross-disciplinary experience in data science, measurement, and operations - a track record of building and leading data and insights organizations from 0-to-1, the scientific depth to drive novel measurement frameworks, and the rare ability to blend quantitative rigor with an understanding of human systems - developing the right logic to drive decision-making at scale. Build and lead the Network Solutions data and analytics organization: provide unified leadership across business intelligence engineering, data engineering, analytics, and reporting; recruit, grow, and retain a team spanning measurement scientists, data engineers, and analysts, building the function from 0-to-1.
Business & Marketing Data Science Manager Google LLCBusiness & Marketing Data Science ManagerSeattle, WAPosition requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms. Minimum qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
Senior Manager, Data Science and Analytics, Prime Video Personalization & Analytics Amazon.com IncSenior Manager, Data Science and Analytics, Prime Video Personalization & AnalyticsSeattle, WAYou will build cross-functional support within Prime Video for high-quality, rigorous measurement, assess business problems, and support iterative scientific solutions that balance short-term delivery with long-term science roadmaps. The ideal candidate brings experience leading experiment-based measurement and business intelligence engineering systems, excellent stakeholder communication skills, and the ability to balance technical rigor with delivery speed and customer impact.
Sr Manager, Applied Science, AWS Compliance & Security Assurance AmazonSr Manager, Applied Science, AWS Compliance & Security AssuranceSeattle, WAYou will also partner closely with automated reasoning experts across the company and contribute to the science of security Key job responsibilities Technical Leadership: Own the science roadmap for our automated reasoning engine, including taint analysis, compositional heap analysis, modular method summarization, and dataflow graph generation Hands-on Contribution: Personally contribute to key research and design decisions, including prototyping novel analyses and reviewing technical artifacts Team Building & Management: Hire, develop, and retain a world-class team of applied scientists; foster a culture of scientific rigor, innovation, and operational excellence Product Integration: Partner with application security and service teams to expand our platform's integration footprint and deliver new security and privacy analysis capabilities Research & Innovation: Advance the state of the art in static program analysis, including exploring formal verification of analysis correctness (e.g., using Lean, Coq, or Dafny), expanding language support beyond Java, and developing novel analysis techniques for emerging security properties Stakeholder Engagement: Collaborate with AWS AppSec, Privacy Engineering, and service teams to understand their security assurance needs and translate them into analysis capabilities Strategic Influence: Represent our team in the broader Automated Reasoning community at Amazon; contribute to automated reasoning initiatives, and academic partnerships About the team Our team builds and operates automated reasoning technology that powers security and privacy assurance across Amazon and AWS at scale. Basic Qualifications - 10+ years of applied research experience - Master's degree in Computer Science (Logic, Programming Languages, Formal Methods, or equivalent) - 5+ years in a technical leadership or management role - Deep expertise in one or more of: static program analysis, abstract interpretation, taint analysis, information-flow security, or automated reasoning - Proven track record of building and shipping production-grade analysis tools or developer-facing security tooling Preferred Qualifications - PhD in Computer Science (Logic, Programming Languages, Formal Methods, or equivalent) - Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.
Manager, Applied Science, International Seller Services AmazonManager, Applied Science, International Seller ServicesSeattle, WABasic Qualifications - 5+ years of scientists or machine learning engineers management experience - PhD in Computer Science, Computer Engineering, or related technical field; OR Master's Degree in Computer Science, Computer Engineering, or related technical field with 5+ years of experience as a Scientist/Engineer. We are seeking an experienced science leader who is adept at a variety of skills; especially in generative AI, computer vision, and large language models that will help international sellers succeed as they sell on Amazon.
Sr. Manager, Applied Science, Prime Video Personalization & Discovery AmazonSr. Manager, Applied Science, Prime Video Personalization & DiscoverySeattle, WAResponsibilities include direct management of senior engineers and scientists, setting vision and long-range technical strategy, product definition, roadmap planning, driving cross-functional execution, developing and maintaining experimentation and production services, owning ML and engineering excellence quality bar, and customer and stakeholder communication. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.
Director, Data Science Walmart IncDirector, Data ScienceBellevue, WA$156,000–$312,000 / yearThis role is focused on technical and thought leadership, people development and operational process optimization-translating strategy into execution by aligning cross‑functional partners, contributing to marketplace KPIs. Oversee the end-to-end data science lifecycle: problem scoping, literature review, model design, algorithmic optimization, engineering integration, deployment, monitoring, and impact measurement.
Director, Data Science MCG Health LLCDirector, Data ScienceSeattle, WA$177,300–$248,200 / yearWorking closely with Product, Engineering, Clinical, and executive leadership, the Director establishes technical direction, aligns AI research with business priorities, and ensures successful delivery of scalable AI capabilities. The Director, Data Science provides strategic and operational leadership for MCG''s Data Science team responsible for developing advanced AI solutions that improve clinical decision support for payers and providers.
Director, Data Science - Central Product Platform (CPP) Meta Platforms IncDirector, Data Science - Central Product Platform (CPP)Bellevue, WACPP builds the platforms every product group runs on: the Experimentation Platform behind tens of thousands of tests and most launch decisions, the Research Platform that turns user research into an agent-accessible asset, the Metrics Platform that defines Meta's core metrics, and the analytics, design, and communication platforms teams use to answer questions and ship. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Director- Data Science Walmart IncDirector- Data ScienceBellevue, WA$156,000–$312,000 / yearThis role is focused on technical and thought leadership, people development and operational process optimization-translating strategy into execution by aligning cross‑functional partners, contributing to marketplace KPIs. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years'' experience in an analytics related field.
Sr Manager, Data Science & AI, R2L Amazon.com IncSr Manager, Data Science & AI, R2LBellevue, WAThe R2L team is responsible for building the next generation supply chain for Amazon"s world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. You will be responsible for delivering data science and AI solutions that drive measurable operational improvements across R2L"s end-to-end network including Supply Chain, Operations, Delivery, Operational Excellence, and Finance.
Data Science Director (IC) Meta Platforms IncData Science Director (IC)Bellevue, WACollaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and ManagersBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 10+ years of experience in analytics and data science, leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance Experience framing and communication skills Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Masters or Ph. D. Degree in a quantitative field Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesMeta builds technologies that help people connect, find communities, and grow businesses.
Senior Materials Science Manager Helion Energy IncSenior Materials Science ManagerEverett, WALead, develop, and support subject matter experts driving the development and deployment of new lab infrastructure, driving materials monitoring technologies and developing predictive models and simulations to extend material performance and reliability. What You Will Be Doing: You will lead Helion's Materials Interactions and Diagnostics team with a strong focus on developing and deploying critical capabilities that enable the design, testing, and monitoring of materials for extreme environments.
Advanced Data Science Associate ZSAdvanced Data Science AssociateBellevue, WashingtonAs a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
Consultant - Data Science / Data Lake DeloitteConsultant - Data Science / Data LakeSeattle, WA$82,600–$162,800 / yearQualifications Required: + 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience) + 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI + 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows + Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response + Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience + Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. Preferred: + Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions + Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support + Experience parsing and normalizing cyber or information technology telemetry datasets + Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy + Experience with Apache Kafka, Storm, or Spark + Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.