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Remote Nvidia Data Scientist Jobs in Oregon (NOW HIRING)

Senior Product Manager, Shopping Experience

OR · On-site +1

$126K - $166K/yr

You'll partner closely with design, research, engineering, data science, and go-to-market teams to ... We're a remote-friendly, fast-moving team that values clear communication, ownership, and ...

Senior Systems Engineer, Storage - DGX Cloud

OR · On-site +1

$104K - $142K/yr

... data infrastructure healthy and performant. Our team at NVIDIA ensures that our internal and ... What We Need To See: * BS degree (or equivalent experience) in Computer Science or related ...

Experience solving real-world machine learning or data science problems in a high-impact production ... Remote Time zone requirements The team operates on the East/West coast time zones.

San Carlos, CA or Remote, USA (West Coast or Mountain time zones preferred) PRIMARY ... Lead medical and clinical data review to ensure data quality and integrity * Analyze complex ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

... science teams to enable a culture of learning. Learn more about the work of data engineers at ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

Showing results 41-60

Remote Nvidia Data Scientist information

What is the difference between Remote Nvidia Data Scientist vs Remote Nvidia Machine Learning Engineer?

AspectRemote Nvidia Data ScientistRemote Nvidia Machine Learning Engineer
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with data analysis and visualization toolsAdvanced degree in Computer Science, AI, or related; strong programming and ML framework knowledge
Work EnvironmentData analysis, modeling, and visualization tasks, often collaborating with data teamsDeveloping, deploying, and optimizing machine learning models, often in software development teams
Industry UsageUsed across research, analytics, and data-driven decision-making rolesCommon in AI product development, autonomous systems, and software engineering

The main difference is that Remote Nvidia Data Scientists focus on analyzing data and building statistical models, while Remote Nvidia Machine Learning Engineers develop and implement machine learning algorithms. Both roles require advanced technical skills and often work within the same industry sectors, but their core responsibilities differ in focus and application.

What are the most commonly searched types of Nvidia Data Scientist jobs in Oregon?

The most popular types of Nvidia Data Scientist jobs in Oregon are:

What cities in Oregon are hiring for Remote Nvidia Data Scientist jobs?

Cities in Oregon with the most Remote Nvidia Data Scientist job openings:

Infographic showing various Remote Nvidia Data Scientist job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Director - Enterprise Data

CONSUMER DIRECT CARE NETWORK

OR • On-site, Remote

Full-time

Posted 17 days ago


Consumer Direct Care Network rating

5.3

Company rating: 5.3 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

191st of 242 rated social care providers


Job description

Description & Requirements
Culture Vision at Consumer Direct Care Network

At CDCN, we strive to create aworkplace where everyone issupported and motivated to betheir best; we collaborate onshared goals and celebrate ouraccomplishments.

WE WELCOME YOU INTO A GROWING COMPANY

Consumer Direct Care Network is all about caring for people. Care is at our core, and we strive to live up to it every day. We provide services in 14 states across the USA, and our programs grow every year. We specialize in home and community-based services that support individuals with disabilities and older adults so they can remain in their homes and communities.

JOB SUMMARY
The Director Enterprise Data is responsible for leading the strategy, management, and utilization of enterprise data across the organization. This position ensures that data is accurately collected, governed, and analyzed to drive business insights and decisions. The Director Enterprise Data will work closely with senior leadership, IT teams, data analysts, and business units to ensure the effective use of data to meet organizational goals.

JOB DUTIES
Data Strategy & Governance
  • Develop and implement a comprehensive data strategy that aligns with the organization's overall business goals and objectives
  • Ensure data governance policies and best practices are followed to ensure accuracy, consistency, privacy, and security of data across the enterprise
  • Lead the development and implementation of data management processes, standards, and procedures
  • Oversee data privacy and compliance initiatives to meet legal and regulatory requirements such as GDPR, CCPA, etc.
Data Architecture & Infrastructure
  • Lead the design and implementation of data architecture and infrastructure to support the organization's data needs
  • Work with IT and engineering teams to ensure the scalability and performance of data systems such as data lakes, data warehouses and cloud storage
  • Ensure data is stored in an efficient secure and easily accessible manner enabling seamless data integration and retrieval
Data Analytics & Insights
  • Drive the development and execution of data analytics initiatives to generate actionable insights that support decision-making across the organization
  • Collaborate with business leaders to identify key performance indicators (KPIs) and ensure data analytics efforts support organizational performance
  • Oversee the creation of dashboards reports and data visualizations to communicate data-driven insights to stakeholders
Team Leadership & Collaboration
  • Lead and mentor a team of data professionals including data engineers, analysts, and scientists
  • Foster collaboration across various business units to ensure that data needs are identified and met
  • Work closely with product marketing, finance and operations teams to ensure alignment on data initiatives and projects
Data Quality & Performance Management
  • Establish and monitor key metrics to measure data quality, integrity and performance
  • Implement data quality checks and audits to maintain high standards and troubleshoot any issues that arise
  • Promote a culture of data-driven decision-making across the organization
Vendor & Stakeholder Management
  • Manage relationships with third-party vendors, including software providers consultants and cloud service providers
  • Communicate the value of enterprise data initiatives to stakeholders at all levels, including executive leadership and nontechnical staff
Innovation & Continuous Improvement
  • Stay current with industry trends, new technologies and innovations in data management and analytics
  • Identify opportunities to improve existing processes and systems and lead initiatives to enhance data capabilities
 
QUALIFICATIONS
  • Bachelor's degree in Computer Science Information Systems, Data Science, Business Analytics, or a related field; master's degree preferred
  • 10+ years of experience in data management, analytics. or business intelligence roles with 5+ years in a leadership capacity
  • Strong knowledge of data governance, data management, and analytics frameworks
  • Experience with modern data architectures such as cloud, data lakes, and data warehouses
  • Familiarity with data analytics tools and platforms such as Tableau, Power BI, SQL, Hadoop, AWS, and Azure
  • Excellent leadership and communication skills with the ability to collaborate with cross-functional teams and communicate complex data concepts to non-technical stakeholders
  • Experience with data privacy, security regulations, and compliance
  • Proven track record of managing and mentoring high-performing teams
  • Employees must provide their own reliable internet if working a remote/hybrid position
  • Ability to work flexible and/or extended hours, if needed, to meet the job requirements
 
Preferred Skills:
  • Experience with machine learning, artificial intelligence, or predictive analytics
  • Experience in managing large-scale enterprise data transformation initiatives
  • Strong business acumen with the ability to link data strategies to business outcomes

The incumbent typically works in an office environment and uses a computer telephone and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office. Incumbent may encounter frequent interruptions throughout the workday. The employee is regularly required to sit talk or hear frequently required to use repetitive hand motion handle or feel and to stand walk reach bend or lift up to 20 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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