Top Data & Analytics Jobs in Portland, OR
The Principal Data Architect is accountable for executing the vision and strategy for the organization's use of data. They lead cross-functional teams and execute data strategies from their vast experience.
The Principal Data Architect is responsible for executing the vision and strategy for the organization's use of data, defining and maintaining the data architecture roadmap, ensuring alignment with business requirements, and leading the implementation of data solutions.
The Inventory & Business Analyst is responsible for day-to-day inventory management support including transactions, monitoring levels, creating work orders, coordinating cycle counts, and maintaining accurate inventory balance. The role requires 3+ years of experience in inventory management and working with third-party vendors.
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Looking for a Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, advising senior stakeholders, and building processes to detect high-risk activity. Key tasks involve diagnosing problems, designing experiments, developing data pipelines, and collaborating with cross-functional teams to drive data-driven solutions. Qualifications include a BS/BA in a related quantitative/technical field, 8+ years of experience, proficiency in SQL, Python, Looker, and strong statistics and machine learning knowledge.
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The Principal Data Analyst will be responsible for deriving meaningful insights from data and supporting the Enterprise and Sales teams. They should have experience in sales data analysis, strategy, or business analysis, with proficiency in SQL, Excel, Tableau, and Salesforce. The successful candidate will be highly organized, analytical, and detail-oriented. A degree in Business, Statistics, Finance, or a related analytical field is preferred.
Partners with Consumer and Ecommerce Business Groups to ensure delivery of applications aligned to the business and IT strategy. Responsible for authoring data integrations and API related Consumer business requirements. Collaborates with business users, translates high-level requirements into actionable workloads, and leads troubleshooting efforts on critical issues.
Seeking a Senior UI Engineer to join the team in building the next-generation data visualization framework for CrowdStrike. Responsibilities include executing technical strategies for front-end data visualization architecture, designing and maintaining a single page application framework, collaborating with multidisciplinary teams, and staying updated on cybersecurity challenges and front-end engineering.
A Principal Data Science and Machine Learning Engineer responsible for developing production machine learning algorithms and recommendation systems, building data pipelines, and collaborating with Product Managers and UX Designers. Must have extensive experience in building production machine learning systems and expertise in Python, TensorFlow, Tableau, MySQL, SQL.
This role involves driving the robotics aspects of the Simulation Smart Agents software stack, collaborating with specialists to deploy algorithms and ML models, optimizing ML and system pipelines, improving data pipelines, defining metrics for evaluation, and closing gaps in tooling for accelerated engineering velocity within Simulation.
Join Square as a Senior Data Scientist in the Payment Risk team. Enhance risk controls, manage metrics, and advise stakeholders on risk controls. Lead fraud prevention efforts and develop machine learning solutions. Partner with various teams to influence product roadmaps and procedures. Requires 8+ years of experience in statistics, mathematics, or related field, proficiency in SQL, Python, and Looker, and strong knowledge in statistics and machine learning.
Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements for business objectives and client needs. Research, develop new analytical approaches, test new statistical analysis methods, and present results clearly. Collaborate with team members to develop technical/business approaches and tools.
Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
Top Companies in Portland, OR Hiring Data + Analytics Roles
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