ZipRecruiter

Log In

2

Full Time Data Science Law Jobs in Oregon (NOW HIRING)

SOSi

Senior Data Scientist

OR · On-site +1

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

Hitachi

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

Hillsboro, OR · On-site +1

$121K - $167K/yr

Data Analytics/Business Intelligence Job Schedule: Full time Remote: No POSITION: Data Scientist I or II DIVISION: Metrology and Analysis Systems Division (MAD) COMPANY: Hitachi High-Tech America ...

ICI Services

Bachelor's degree in Math, science, engineering, or related field. EOE/M/F/ Disability/Vet VEVRAA ... Full time

Clarity Recruiting

Qualifications Bachelor's degree in Data Analytics, Computer Science, Statistics, Finance ... Compensation & Schedule Full-time Hybrid schedule (4 days onsite) Location: Austin, TX or Miami, FL ...

previous pagenext page

Showing results 21-40

All JobsData Science Law JobsFull Time Data Science Law JobsFull Time Data Science Law Jobs in Oregon

Full Time Data Science Law information

What is the difference between Full Time Data Science Law vs Data Analyst?

AspectFull Time Data Science LawData Analyst
Required CredentialsBachelor's or higher in Data Science, Law, or related fields; certifications like Certified Data ProfessionalBachelor's degree in Data Analysis, Statistics, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentLegal firms, corporate legal departments, or compliance teams; often involves handling legal data and regulationsBusiness, finance, marketing sectors; focuses on interpreting data to inform decisions
Employer & Industry UsageLegal and corporate sectors integrating data science for legal analytics and complianceVarious industries using data to optimize operations and strategies

Full Time Data Science Law professionals focus on applying data science techniques within legal contexts, often requiring legal knowledge alongside data skills. Data Analysts primarily interpret data to support business decisions across industries. While both roles involve data handling, their focus areas and environments differ significantly.

What are popular job titles related to Full Time Data Science Law jobs in Oregon?

For Full Time Data Science Law jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Full Time Data Science Law jobs in Oregon look for?

The top searched job categories for Full Time Data Science Law jobs in Oregon are:

What cities in Oregon are hiring for Full Time Data Science Law jobs?

Cities in Oregon with the most Full Time Data Science Law job openings:

Full Time Data Science Law jobs near you
Infographic showing various Full Time Data Science Law job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 22 days ago

Key responsibilities

  • Design and implement advanced machine learning models and statistical methods to support forecasting, risk assessment, and decision-making processes.

  • Conduct data provenance tracking, documenting sources, transformations, and lineage for compliance and reporting purposes.

  • Implement sprint-based Agile methodologies to ensure rapid development, backlog management, and alignment with mission requirements.

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.

Apply