ZipRecruiter

Log In

1

At Home Data Scientist Risk Jobs in Oregon (NOW HIRING)

SOSi

Senior Data Scientist

OR

... risk assessment, and decision-making processes. * The contractor shall conduct data provenance ... Working at SOSi All interested individuals will receive consideration and will not be discriminated ...

Columbia

Principal Data Scientist

Portland, OR

At Columbia, we're as passionate about the outdoors as you are. And while our gear is available ... The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the ...

YipitData

Data Scientist, Corporate

OR · On-site +1

What It's Like to Work at YipitData: YipitData isn't a place for coasting-it's a launchpad for ... We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to ...

Lumen Technologies

Senior Data Scientist

OR · Remote

$84K - $112K/yr

At Lumen, that question drives everything the company does. The networks, platforms, and ... Location This is a work from home position from within the US. The Main Responsibilities * Build ...

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

What It's Like to Work at YipitData: YipitData isn't a place for coasting-it's a launchpad for ... We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to ...

Instacart

Senior Data Scientist II - Core Delivery

OR · Remote

Overview The Core Delivery team at Instacart is dedicated to ensuring customers receive their ... You'll also proactively identify high-risk delivery scenarios and develop solutions to the ...

previous pagenext page

Showing results 21-40

All JobsAt Home Data Scientist Risk JobsAt Home Data Scientist Risk Jobs in Oregon

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Oregon? The most popular types of Data Scientist Risk jobs in Oregon are:
What are popular job titles related to At Home Data Scientist Risk jobs in Oregon? For At Home Data Scientist Risk jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Oregon look for? The top searched job categories for At Home Data Scientist Risk jobs in Oregon are:
What cities in Oregon are hiring for At Home Data Scientist Risk jobs? Cities in Oregon with the most At Home Data Scientist Risk job openings:
At Home Data Scientist Risk jobs near you
Senior Data Scientist

Senior Data Scientist

SOSi

OR

Full-time

Posted 10 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.

Apply