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Work From Home Data Scientist Machine Learning Jobs in Oregon

SOSi

Senior Data Scientist

OR ยท On-site +1

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

Corvel

Data Scientist II

This individual will be focused on designing, building, and deploying machine learning models and ... Mine and analyze data from internal databases to drive optimization and improvement of product ...

Alteryx

Lead Data Scientist

OR ยท Remote

Stay current on advances in data science, machine learning, and generative AI. * Mentor junior data ... remote work-related expenses * An annual $200 home office reimbursement Alteryx offers a ...

SOSi

Data Scientist

OR ยท On-site +1

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and ...

Nextdoor

Senior Data Scientist - Fraud Prevention

OR ยท On-site +1

... and work from home experience for our valued employees. The hiring team will go over these ... Develop heuristics, statistical models, and machine learning solutions for proactive detection of ...

OneStudyTeam

Senior Data Scientist

OR ยท On-site +1

$140K - $190K/yr

As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health's data-driven ... Work closely with machine learning engineers, product managers, and other stakeholders to integrate ...

HealthEdge

Machine Learning Engineer

Master's degree in Computer Science, Machine Learning, Data Science, or a related field. A Bachelor ... Ability to work collaboratively in a cross-functional team environment, accept feedback, and ...

phData

Machine Learning Solutions Architect

OR ยท On-site +1

They own the infrastructure and deployment plan-from making sure data science models can actually ... Work within customer systems to extract data and place it within an analytical environment * Learn ...

Workiva, Inc.

Senior Applied Machine Learning Scientist

OR ยท On-site +1

$91.40K - $124.90K/yr

Bachelor's degree or Advanced degree (Master's or PhD) in Computer Science, Data Science, or a ... Workiva supports employees in working where they work best - either from an office or remotely from ...

Varsity Tutors

Machine Learning Tutor

OR ยท Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

Varsity Tutors

Machine Learning Tutor

Portland, OR ยท Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

Varsity Tutors

Machine Learning Tutor

Eugene, OR ยท Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

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Work From Home Data Scientist Machine Learning information

What are the key skills and qualifications needed to thrive as a Work From Home Data Scientist in Machine Learning, and why are they important?

To thrive as a Work From Home Data Scientist in Machine Learning, you need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like TensorFlow, scikit-learn, SQL, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving, self-motivation, and effective remote communication skills set outstanding professionals apart. These skills are crucial for designing robust models, collaborating across remote teams, and delivering actionable insights to drive business decisions.

How does working remotely as a Data Scientist specializing in Machine Learning affect team collaboration and project workflow?

As a remote Data Scientist focused on Machine Learning, collaboration is often facilitated through digital communication tools like Slack, Zoom, and version control platforms such as GitHub. Project workflows are typically structured using agile methodologies, with regular virtual stand-ups and sprint reviews to ensure alignment. While remote work offers flexibility, it also requires proactive communication to stay updated on evolving project goals and to coordinate effectively with data engineers, product managers, and other stakeholders. Building strong documentation habits and being responsive during core working hours can help overcome common challenges related to time zone differences or asynchronous work.

What is a Work From Home Data Scientist Machine Learning?

A Work From Home Data Scientist specializing in Machine Learning is a professional who analyzes data and builds predictive models using machine learning techniques, while working remotely. Their responsibilities include collecting, cleaning, and interpreting large datasets, creating algorithms, and communicating findings to help organizations make data-driven decisions. They often use programming languages like Python or R, and collaborate with teams through digital tools. This role allows for flexibility in location and often requires strong self-motivation and communication skills.

What is the difference between Work From Home Data Scientist Machine Learning vs Work From Home Data Analyst?

AspectWork From Home Data Scientist Machine LearningWork From Home Data Analyst
Required SkillsProgramming (Python, R), Machine Learning, Statistical AnalysisData Visualization, Basic Statistical Skills, Excel
CertificationsCertified Data Scientist, Machine Learning CertificationsNone typically required, but certifications like Microsoft Data Analyst are common
Work EnvironmentRemote, collaborative teams, research-focused
Industry UsageTech, Finance, Healthcare, E-commerce

Work From Home Data Scientist Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and machine learning expertise. In contrast, Work From Home Data Analyst positions emphasize data interpretation, reporting, and visualization. Both roles are remote-friendly and industry-relevant, but differ in technical depth and scope.

What are popular job titles related to Work From Home Data Scientist Machine Learning jobs in Oregon? For Work From Home Data Scientist Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Work From Home Data Scientist Machine Learning jobs in Oregon look for? The top searched job categories for Work From Home Data Scientist Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Work From Home Data Scientist Machine Learning jobs? Cities in Oregon with the most Work From Home Data Scientist Machine Learning job openings:
Work From Home Data Scientist Machine Learning jobs near you

Senior Data Scientist

SOSi

On-site, Remote

Full-time

Posted 12 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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