ZipRecruiter

Log In

2

Remote Data Scientist Graduate Jobs in Oregon (NOW HIRING)

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to ... Remote

Netflix

Distributed Systems Engineer (L4) - Data Platform

OR · On-site +1

$71K - $464K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S ... We work closely with Data Science to develop and operationalize predictive models, translating them ...

Natera

Senior Clinical Scientist, ECD

OR · On-site +1

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 ...

Netflix

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 ...

Valtech

Data Engineer Snowflake/Agentic AI

OR · On-site +1

$155K/yr

Proven industry experience executing data engineering, analytics, and/or data science projects or ... Flexibility, with remote and hybrid work options (country-dependent) * Career advancement, with ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Bachelor's degree in Computer Science, Engineering, or a related field * 5+ years of experience in ...

Upstart

Applied Scientist

OR · On-site +1

Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Tempus

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

... Life Sciences or Healthcare industry * Strong command of SQL and other scripting languages (R or ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

previous pagenext page

Showing results 21-40

All JobsData Scientist Graduate JobsRemote Data Scientist Graduate JobsRemote Data Scientist Graduate Jobs in Oregon

Remote Data Scientist Graduate information

What is the difference between Remote Data Scientist Graduate vs Remote Data Analyst Graduate?

AspectRemote Data Scientist GraduateRemote Data Analyst Graduate
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, data cleaning, basic analysis, business insights
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, consulting firms

The main difference between a Remote Data Scientist Graduate and a Remote Data Analyst Graduate lies in the complexity of tasks and required skills. Data Scientists typically handle advanced modeling and machine learning, requiring stronger programming and statistical expertise. Data Analysts focus on data cleaning, reporting, and basic analysis. Both roles are in high demand across various industries, but Data Scientists often work on more complex projects and require more specialized credentials.

What are popular job titles related to Remote Data Scientist Graduate jobs in Oregon?

For Remote Data Scientist Graduate jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Graduate jobs in Oregon look for?

The top searched job categories for Remote Data Scientist Graduate jobs in Oregon are:

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

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

Remote Data Scientist Graduate jobs near you

Data Engineer

Tebra

OR • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 8 days ago

Key responsibilities

  • Build, maintain, and optimize scalable data pipelines for feature extraction, training data generation, and model monitoring.

  • Develop and enhance data systems supporting analytics and machine learning workloads, including data lakehouse and feature store technologies.

  • Monitor production data pipelines, identify data quality issues or failures, and implement improvements to ensure reliability and data freshness.

Job description

About the Role

As a Data Engineer focused on AI/ML, you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.

This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You'll work on modern data platforms and gain experience building solutions that support both model training and production inference.

Your Area of Focus
  • Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
  • Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
  • Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.
  • Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation.
  • Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks.
  • Translate business requirements into scalable data solutions that enable analytics and machine learning use cases.
  • Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
  • Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility.
  • Break down technical work into manageable tasks and deliver high-quality solutions within an agile team.
Your Professional Qualifications
  • 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
  • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads.
  • Strong proficiency in Python and SQL with experience developing production-quality data pipelines.
  • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms.
  • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies.
  • Understanding of data modeling, data warehousing, and data governance best practices.
  • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts.
  • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices.
  • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams.
  • Excellent communication skills and a desire to continuously learn new technologies and engineering practices.

#LI-SS1 #LI-Remote

Apply