ZipRecruiter

Log In

2

Remote Data Scientist Fraud Jobs in Oregon (NOW HIRING)

SOSi

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 ...

BECU

Data Scientist

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

YipitData

Data Scientist, Corporate

OR · On-site +1

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:

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

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:

SOSi

Senior Data Scientist

OR · On-site +1

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

Lumen Technologies

Senior Data Scientist

OR · Remote

$84K - $112K/yr

The organization is seeking a Senior Data Scientist who is energized by the opportunity to turn ... Bonus Structure #LI-Remote Requisition #: 342510 Life at Lumen Life at Lumen is human and connected ...

Corvel

Data Scientist II

We have an exciting opportunity for a Data Scientist within our data product space. This individual ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Stripe

Fraud Patterns Analyst

OR · Remote

This position works closely with cross-functional stakeholders across product, engineering, data science, and operations to identify and mitigate risk from complex, distributed transaction fraud ...

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 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position ...

DataDome

Fraud Analyst

OR · On-site +1

Fully remote position (US-based) with the flexibility to work from anywhere in+ $500 stipend to ... You will meet with members of our Research and Data Science Leadership Team. * You will complete a ...

Honor

Staff Data Scientist

Portland, OR · Remote

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 ...

Veriff

Fraud Countermeasure Specialist, Fraud Platform

OR · On-site +1

Proficiency in data analysis tools and techniques (SQL, Tableau or Looker). * A solid understanding ... USA (Remote) Why Veriff? We are the preferred identity verification platform partner for the world ...

UMB Financial

Sr. Fraud BI Analyst

OR · On-site +1

$98K - $144K/yr

However, the remote location must be within the US. How you will spend your time: * Design and ... Bachelor's Degree in Data Analytics, Data Science or similar field of study OR equivalent ...

Kemper

Director, Data Science Operations

OR · Remote

$160K - $226K/yr

Location(s) Chicago, Illinois, Chicago, Illinois, Remote-AK, Remote-AL, Remote-AR, Remote-AZ ... Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create ...

next page

Showing results 1-20

All JobsData Scientist Fraud JobsRemote Data Scientist Fraud JobsRemote Data Scientist Fraud Jobs in Oregon

Remote Data Scientist Fraud information

What are the key skills and qualifications needed to thrive as a remote data scientist fraud?

To thrive as a Remote Data Scientist in Fraud Detection, you need strong analytical skills, a solid background in statistics or computer science, and experience with machine learning, often supported by an advanced degree. Familiarity with tools such as Python, R, SQL, and fraud detection platforms like SAS or Hadoop, as well as knowledge of data visualization and cloud technologies, is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating remotely across teams. These skills ensure accurate fraud identification, efficient risk mitigation, and effective cross-functional teamwork in dynamic and distributed environments.

What does a remote data scientist fraud do?

A Remote Data Scientist Fraud specializes in detecting and preventing fraudulent activities using data analysis and machine learning techniques. They work from a remote location to gather, analyze, and interpret large datasets to identify suspicious patterns and anomalies. Their role often involves building predictive models, collaborating with engineering and cybersecurity teams, and continuously improving fraud detection systems. By leveraging statistical tools and algorithms, they help organizations minimize financial losses and enhance security.

How does a remote data scientist fraud typically collaborate with cross-functional teams?

As a Remote Data Scientist focused on fraud detection, you'll regularly collaborate with engineers, product managers, and risk analysts to design and implement effective fraud prevention solutions. Communication is often facilitated through virtual meetings, collaborative platforms, and shared documentation. You'll be expected to explain complex models and analytical findings in clear, actionable terms to both technical and non-technical stakeholders, ensuring everyone understands the impact of your work. Strong teamwork and proactive updates are essential for keeping projects aligned and ensuring the solutions stay relevant to evolving fraud trends.
What are popular job titles related to Remote Data Scientist Fraud jobs in Oregon? For Remote Data Scientist Fraud jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Fraud jobs in Oregon look for? The top searched job categories for Remote Data Scientist Fraud jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Scientist Fraud jobs? Cities in Oregon with the most Remote Data Scientist Fraud job openings:
Remote Data Scientist Fraud jobs near you

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 25 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.

Apply