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Remote Data Scientist Risk Jobs in Oregon (NOW HIRING)

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Lead Data Scientist

OR · On-site +1

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ...

... risk assessment, and decision-making processes. * The contractor shall conduct data provenance ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... As Our Corporate Data Scientist, You Will: * Statistical Modeling & Distribution Optimization:

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... As Our Corporate Data Scientist, You Will: * Statistical Modeling & Distribution Optimization:

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 ...

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

As a Data Scientist you will contribute to building the models and tools that these care teams rely on - risk models, care gap prediction, and ML/AI applications including LLM-based tools that ...

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position ...

About the role: We're looking for Data Scientists to join our team. In this role, you will serve as ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Staff Machine Learning Model Risk Specialist

OR · On-site +1

$98K/yr

... learning, data science, quantitative risk, AI governance, or a related technical risk function ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Your job is to predict who's at risk, understand why they leave, and power the interventions that ... Qualifications: * 5-8+ years in data science, applied ML, or statistics, shipping production models.

Communicate and coordinate with remote hands in remote data centers, providing technical direction ... Bachelor of Science degree in Computer Science or equivalent experience

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

Enterprise Risk Analyst - AI Risk

OR · On-site +1

$68K - $127K/yr

... data, reinforce trust, and support innovation that benefits our members and communities. Your ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

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Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 9 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 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 develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • 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
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

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.