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Remote Data Science Intern Jobs in Oregon (NOW HIRING)

Terzo

Data Scientist

OR · On-site +1

You might thrive in this role if you have * 5+ years of experience in data science, applied ML, or AI research with production-shipped systems, not just notebooks and prototypes * Strong statistical ...

Bluesight

Data Scientist

OR · Remote

$130K - $150K/yr

Degree or equivalent years of experience in data science, statistics, computer science, or similar ... This position is a remote position and open to applicants in the continental United States. Why ...

UMB Financial

Data Product Manager

OR · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

BlueLabs, Inc.

Data Analyst I

OR · On-site +1

$67K/yr

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet ... Remote friendly (within the U.S.) * Pre-tax transportation options for commuting to our office in ...

Care Access

Enterprise Performance Analytics Engineer

OR · Remote

$80K - $110K/yr

Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics ... data engineering intern, analytics engineer) How We Work Together * Location : Remote within the ...

Upstart

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

Deep expertise in applying analytics and data science techniques to drive impacts in growth and ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

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Remote Data Science Intern information

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a Remote Data Science Intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in Oregon? The most popular types of Remote Data Science jobs in Oregon are:
What are popular job titles related to Remote Data Science Intern jobs in Oregon? For Remote Data Science Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Oregon look for? The top searched job categories for Remote Data Science Intern jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Science Intern jobs? Cities in Oregon with the most Remote Data Science Intern job openings:
Remote Data Science Intern jobs near you
Infographic showing various Remote Data Science Intern job openings in Oregon as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Scientist

Terzo

OR • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Data Scientist - Product

Location: US

Level: Senior Individual Contributor

Team: Engineering

About Terzo

Terzo builds an AI-native enterprise data platform designed to power the commercial and financial operating system of modern companies. The platform transforms complex, unstructured enterprise data into structured, actionable intelligence used directly in operational and financial decision-making. Terzo sits at the intersection of data platforms, AI systems, and enterprise software, focusing on real production use cases rather than demos or point solutions.

The Opportunity

As a Data Scientist on our Applied Research team, you will build the intelligent systems that create the data our customers depend on. You will design extraction and classification models that process enterprise-scale document corpora, build and evolve the entity resolution and signal detection layers powering the Commercial Graph and Financial Graph, and define how AI capabilities surface as recommendations, agents, and search across the platform. You will own the models, pipelines, and graph structures that are the product - working directly with engineering, product, and customers on problems where a single clause can represent tens of millions of dollars of exposure and where model accuracy has a contractual SLA.

You might thrive in this role if you have
  • 5+ years of experience in data science, applied ML, or AI research with production-shipped systems, not just notebooks and prototypes
  • Strong statistical foundations and the ability to define and evaluate success metrics for AI systems including precision, recall, coverage, latency, not just accuracy
  • Deep experience building NLP, NLU, or document understanding models that operate on messy, real-world unstructured data at scale
  • Strong intuition for entity resolution, knowledge graph construction, or graph-based modeling and you've thought seriously about how to connect fragmented data into structured, queryable representations
  • Hands-on proficiency in Python and modern AI frameworks (), with experience deploying models into production pipelines
  • Comfort with information extraction, classification, and retrieval-augmented generation patterns applied to real enterprise workloads
  • A track record of working cross-functionally with engineering and product to shape what gets built, not just executing on handed-down specs
  • Clear, structured communication where you can explain a model decision to a PM, defend an architectural choice to a staff engineer, and present results to leadership without hiding behind jargon
  • High ownership mentality where you treat model quality, pipeline reliability, and customer outcomes as your responsibility
You could be an especially great fit if you have
  • Experience building or evolving knowledge graphs, commercial ontologies, or financial data models in enterprise contexts
  • Prior work on document AI, OCR pipelines, or hybrid extraction systems combining rule-based and learned approaches
  • Exposure to AI agent architectures, tool-use patterns, or autonomous reasoning systems in production
  • Background in procurement, contract management, spend analytics, or financial operations domains
  • Experience with evaluation frameworks for AI systems (RAGAS, custom eval harnesses, human-in-the-loop QA pipelines)
  • Familiarity with distributed data platforms, event-driven architectures, or streaming systems (Ray, Kafka, Azure Service Bus)
  • Prior work at a high-growth startup or enterprise AI company 
  • An MS or PhD in a quantitative field
Why Join Terzo
  • Opportunity to build and own a foundational enterprise data platform
  • High-impact role with real influence on architecture and technical direction
  • Complex problems involving data, AI, scale, and enterprise customers
  • Small, senior team with strong ownership and minimal bureaucracy
  • Clear runway for technical and leadership growth as the platform scales
Benefits & Perks
  • Competitive salary
  • Annual performance bonus
  • Employee stock option plan
  • 100% paid medical, dental, and vision coverage
  • 401(k) with employer contribution
  • Generous vacation and sick leave
  • Flexible work arrangements
  • High-quality equipment for home and office
  • Strong culture of collaboration, mentorship, and continuous improvement

Apply