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Remote Data Scientist Deep Learning Jobs in Oregon

SOSi

Senior Data Scientist

OR · On-site +1

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Smarsh

Lead Data Scientist

OR · On-site +1

Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse * Command of data ...

SOSi

Data Scientist

OR · On-site +1

... learning and predictive modeling. * Proposed personnel possess the knowledge and capability to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

YipitData

Data Scientist, Corporate

OR · On-site +1

Rapid Growth : We compress years of learning into months * Merit Over Titles : Trust and ... Whether your deep expertise lies in refining core statistical baselines, optimizing heavy ...

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

Rapid Growth : We compress years of learning into months * Merit Over Titles : Trust and ... Whether your deep expertise lies in refining core statistical baselines, optimizing heavy ...

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

D. in Computer Science, Computer Engineering or a related field (or equivalent experience) * 3+ ... MLIR, LLVM, XLA, TVM and deep learning models and algorithms. With highly competitive salaries and ...

Nextdoor

Data Scientist - Search

OR · On-site +1

The Data Science group is made up of people from a diverse set of backgrounds and perspectives ... You are excited to go deep on ranking and recommendation systems, semantic retrieval, and the ...

CookUnity

Director, Data Science/ML

OR · On-site +1

Foster a culture of innovation, experimentation, and continuous learning within the data science ... Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product ...

BetterHelp

Data Scientist

OR · On-site +1

As a Data Scientist at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

LP Careers Page

Lead Data Scientist, AdTech

OR · On-site +1

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... LLMs / deep learning applied to personalization or content * Familiarity with Looker TOTAL ...

LP Careers Page

Staff Data Scientist, Marketing

OR · On-site +1

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... LLMs / deep learning applied to personalization or content * Familiarity with Looker TOTAL ...

Honor

Staff Data Scientist

Portland, OR · Remote

Deep technical depth in building, orchestrating, and establishing best practices for agentic ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... PRIMARY RESPONSIBILITIES * Hands-on development and write algorithms in machine learning ...

FloVision Solutions

Machine Learning Engineer

OR · On-site +1

Three or more years of experience across the machine learning or data science lifecycle, with a ... Deep learning side projects that demonstrate curiosity, experimentation, or technical depth ...

Fuze Health

Applied Scientist - FuzeRx

OR · On-site +1

Our Data Science team partners closely with Product and Engineering to solve the most complex and ... Your deep expertise in NLP, large language models, and machine learning systems will accelerate ...

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Remote Data Scientist Deep Learning information

What is a remote data scientist specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in deep learning?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do remote data scientists specializing in deep learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

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

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

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

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

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

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

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

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

Remote Data Scientist Deep Learning jobs near you

Senior Data Scientist

OR • On-site, Remote

SOSi
See more jobs at SOSiexternal

Full-time

Re-posted 14 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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