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Track record of scholarly productivity (publications) and potential for securing external fudning (e.g., NIH, NSF, PCORI) Proficiency in Python, R, SQL, and experience with high-performance computing environments Preferred Qualifications Experience with implementation science or deploying algorithmic tools into clinical workflows Previous success securing K-awards or R-level grant funding * Familiarity with federated learning or privacy-preserving computation Why apply to OHSU? Open to various rank levels (Assistant, Associate, or Professor) dependent on experience Function/Duties of Position The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE) at OHSU seeks a tenure-track faculty member to lead a research program at the intersection of Artificial Intelligence (AI), machine learning (ML), and translational science.
Beaverton, OR30+ days ago
p>You Are: The Accenture Life Insurance and Annuity Industry Data Product Lead will drive the development and delivery of the ALIP data analytics and insight solution-a cornerstone of our value proposition to ALIP clients. Our team of over 975 Life and Annuity industry professionals is helping some of the most recognized insurance brands drive growth with digital innovation, platform modernization, improved product distribution, and personalized customer experiences.
Ideal candidates may come from a traditional model validation background with deep hands-on experience testing modern AI/ML systems, or from model development, applied AI, or research as data scientists, with a strong understanding of how risks emerge in complex systems and how to rigorously challenge them as they scale into production. Comfort operating in ambiguity: capable of synthesizing fragmented technical, operational, and business context into a clear understanding of how complex models and AI systems actually work, and making sound judgments even without a complete playbook or perfect documentation.
From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities.
From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities.
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You will be responsible for helping to identify, advocate, and execute programs with a specific focus on novel approaches leveraging automation, NLP, computer vision, time series, GenAI, and other use cases and data-centric AI approaches that differentiate and solve complex problem statements. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
Vancouver, Washington3 days ago
ul>Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data product pipelines, repositories or models for structured/unstructured data. Focusing on developing sharable libraries that reduce development time and maintenance, Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.
Vancouver, WA30+ days ago
Collaborate with internal and external partners to align on telemetry instrumentation, data collection methodology, and platform differences to ensure consistent interpretation across printer platforms. Investigate data quality issues (completeness, accuracy, timeliness), perform root-cause analysis across pipelines and sources, and communicate impacts and remediation paths with appropriate caveats.
You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
You will lead strategic planning and coordination, which may include development of comprehensive data strategies, data and AI governance frameworks, support testing and organizational change management plans, and the establishment of data science environments that allow technical teams to deliver novel products, tools, and services. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
li>Develop relationships and collaborate with both internal and external stakeholders, data scientists, project managers, engineering, operations, analysts and leadership to develop data driven solutions for weather, climate, and risk assessment models.
This position will also serve on the PGE incident management team when the Emergency Operations Center is activated supporting situational awareness and incident response operations , including public safety power shutoffs to mitigate the risk of wildfires.
li>Hands-on experience enabling AI/ML and agent-based solutions within enterprise platforms, including model management, agent orchestration, and lifecycle considerations (e.g., LangChain, AutoGen, Semantic Kernel, Microsoft AI Foundry). Job Description Summary:
We are seeking a Senior Solution Architect to design, build, and evolve Swinertons enterprise data and AI platform, ensuring it is technically strong, AI-ready, and tightly aligned to business outcomes.
You will lead strategic planning and coordination, which may include development of comprehensive data strategies, data and AI governance frameworks, support testing and organizational change management plans, and the establishment of data science environments that allow technical teams to deliver novel products, tools, and services. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
You will lead strategic planning and coordination, which may include development of comprehensive data strategies, data and AI governance frameworks, support testing and organizational change management plans, and the establishment of data science environments that allow technical teams to deliver novel products, tools, and services. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
In our consultative approach, we are platform agnostic and committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, LLM/MLOps, data engineering while streamlining IT and infrastructure. AI Engineering Manager are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case priorities, defining the data strategy, and leading application deployment to solve our clients' use cases.
Our engineering team leverages emerging technologies and best practices across data security, documentation, cloud services and engineering architecture to create solutions and products that address complex issues and business problems faced by global organizations. Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies.
Our engineering team leverages emerging technologies and best practices across data security, documentation, cloud services and engineering architecture to create solutions and products that address complex issues and business problems faced by global organizations. Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design, development, deployment, monitoring, and maintenance of full-stack AI solutions.
A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
We"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies, balancing long-term, scalable architecture design with the need for rapid iteration in a dynamic field.
p>Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
li>Design and implement scalable data ingestion and transformation frameworks using Azure services enabling structured, semi-structured, and unstructured data to be efficiently processed and integrated into enterprise data platforms.
Hands-on experience implementing and optimizing data solutions using the Medallion Architecture (Bronze, Silver, Gold layers) for scalable and structured data processing.
Beaverton, Oregon9 days ago
We focus on our core competencies: excellent customer service, analytics, technology, underwriting, and execution in delivering financing products designed to meet the needs of consumers with less-than-perfect credit histories. Overview: As our Vice President, Risk (Fraud Strategy & Analytics), you’ll help drive Concora Credit’s Mission to enable customers to Do More with Credit – every single day..