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Fraud Data Scientist Jobs in Bothell, WA (NOW HIRING)

Sidram Technologies

Data Scientist

Seattle, WA · On-site

Develop ML-based risk scoring models across multiple fraud and exception scenarios, replacing ... hands-on Data Science experience with a strong foundation in classical ML * Proficiency in ...

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Data Scientist ll - Digital Intelligence

Seattle, WA · On-site

$140 - $190/hr

Our mission is to eliminate identity fraud and ensure online trust across industries. We are seeking a Data Scientist II to join our Digital Intelligence team. In this role, you will develop machine ...

Nexxen International Ltd

Data Scientist

Bellevue, WA · On-site

$160K - $200K/yr

You'll collaborate with data science teammates, talented engineers and product experts to produce ... Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity

Visa

Staff Data Scientist

Bellevue, WA · On-site

$145K/yr

We are seeking a Staff Data Scientist to lead high-impact machine learning initiatives that improve ... Experience in payments, fraud, risk, disputes, fintech, or transaction-heavy domains * Experience ...

Visa

Staff Data Scientist

Bellevue, WA · On-site

$145K/yr

We are seeking a Staff Data Scientist to lead high-impact machine learning initiatives that improve ... Experience in payments, fraud, risk, disputes, fintech, or transaction-heavy domains * Experience ...

Red Violet, Inc.

Applied Scientist, AI

Seattle, WA · On-site

$195K - $205K/yr

... data into intelligence. Our solutions are used today to enable frictionless commerce, enhance safety, and mitigate fraud and the related financial losses borne by society. JOB DUTIES: * Participate ...

Kindredventures

Applied Scientist

Seattle, WA · On-site

$120 - $140/hr

Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk ... Perform data research and analysis using Grid's proprietary dataset as well as other relevant ...

Grid

Applied Scientist

Seattle, WA · On-site

$120 - $140/hr

Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk ... Perform data research and analysis using Grid's proprietary dataset as well as other relevant ...

Grid

Applied Scientist

Seattle, WA · On-site

$120K - $140K/yr

Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk ... Perform data research and analysis using Grid's proprietary dataset as well as other relevant ...

Grid

Applied Scientist

Seattle, WA · On-site

$120K - $140K/yr

Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk ... Perform data research and analysis using Grid's proprietary dataset as well as other relevant ...

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Showing results 1-20

All JobsFraud Data Scientist JobsFraud Data Scientist Jobs in Bothell, WA

Fraud Data Scientist information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do fraud data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for fraud data scientist in Bothell, WA is $184,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What is a fraud data scientist?

A Fraud Data Scientist analyzes transactional and behavioral data to detect, prevent, and mitigate fraudulent activities. They use machine learning models, statistical analysis, and anomaly detection techniques to identify suspicious patterns in financial, e-commerce, or other data-heavy industries. Their role involves working with large datasets, collaborating with fraud investigators, and continuously improving fraud detection systems to minimize financial losses and risks.

What are the typical daily responsibilities of a fraud data scientist?

A Fraud Data Scientist's day often involves analyzing large datasets to detect suspicious patterns, developing and validating machine learning models to predict fraudulent activity, and collaborating with other teams such as compliance and risk management. Additionally, they may respond to real-time fraud alerts, participate in meetings to refine detection strategies, and prepare reports for stakeholders. The role combines technical analysis with ongoing learning about emerging fraud trends, making every day dynamic and intellectually challenging. Teamwork and adaptability are essential, as you'll frequently coordinate with engineers and business leaders to continually enhance fraud prevention efforts.

What are the key skills and qualifications needed to thrive in the fraud data scientist position, and why are they important?

To thrive as a Fraud Data Scientist, you need strong analytical skills in statistics, machine learning, and data analysis, typically backed by a degree in data science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of fraud detection tools such as SAS, Hadoop, or relevant certifications like CFE are highly valued. Excellent problem-solving ability, communication skills, and the capacity to work collaboratively with cross-functional teams are important soft skills. These abilities are crucial for identifying and mitigating fraudulent activities while ensuring clear collaboration and actionable insights in a high-stakes financial environment.

What are popular job titles related to Fraud Data Scientist jobs in Bothell, WA?

For Fraud Data Scientist jobs in Bothell, WA, the most frequently searched job titles are:

What cities near Bothell, WA are hiring for Fraud Data Scientist jobs?

Cities near Bothell, WA with the most Fraud Data Scientist job openings:

Fraud Data Scientist jobs near you
Infographic showing various Fraud Data Scientist job openings in Bothell, WA as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution, with an average salary of $184,472 per year, or $88.7 per hour.

Data Scientist

Sidram Technologies

Seattle, WA • On-site

Contractor

Re-posted 28 days ago

Job description

Hi

This is Rachael from SidRam Tech, We have an urgent position  Sr Data Scientist @Seattle, Washington, with our Direct client. Kindly have a look at JD below and let me know your interest.

Title: Sr Data Scientist

Client: Savers Inc

Location: Seattle, Washington,

Preferred Hybrid, 2 days a week- 

Skills:  Machine Learning, Azure Machine Learning, Artificial Intelligence, MLOps, AI Solution Architecture ,Microsoft Azure ,Microsoft Fabric

Interview process: Two with Tavant + Client round

Note: at least one in-person meeting is mandatory

Job Description

We are looking for a Senior Data Scientist with strong classical ML expertise to design, build, and operationalize predictive models within the Microsoft Fabric ecosystem. You will work on high-impact use cases spanning demand forecasting, risk scoring, and anomaly detection for large-scale retail environments — translating raw data signals into actionable business intelligence.

Key Responsibilities:

  • Design and develop end-to-end classical ML pipelines — from feature engineering to model deployment and monitoring
  • Build demand forecasting models leveraging external data signals (weather, events, seasonality) alongside historical sales data, at store/category/SKU level with 1–14 day horizons
  • Develop ML-based risk scoring models across multiple fraud and exception scenarios, replacing manual rule-based processes with adaptive, dynamic thresholds
  • Deliver daily prioritized outputs (investigation lists, inventory signals) that reduce detection and decision cycles from weeks to days
  • Own model validation, threshold tuning, false positive reduction, and ongoing performance monitoring in production
  • Collaborate with data engineers on feature pipelines using Microsoft Fabric Lakehouse, Dataflow Gen2, and OneLake
  • Participate in iterative pilot-to-production delivery cycles with structured feedback incorporation
  • Communicate model outputs and business impact clearly to both technical teams and business stakeholders

Required Skills & Experience:

  • 8–12 years of hands-on Data Science experience with a strong foundation in classical ML
  • Proficiency in supervised and unsupervised ML techniques — gradient boosting, regression, classification, anomaly detection, time-series forecasting (XGBoost, LightGBM, scikit-learn, Prophet, statsmodels)
  • Strong hands-on experience with Microsoft Fabric — ML Experiments, Notebooks (Python/PySpark), Lakehouse, Pipelines, and Dataflow Gen2
  • Solid Python programming skills with experience building production-grade ML code
  • Experience with MLflow for experiment tracking, model registry, and lifecycle management (native within Fabric)
  • Proven experience building time-series forecasting models at granular levels (store, SKU, or category)
  • Experience with anomaly detection and risk/fraud scoring models in retail or financial domains
  • Strong skills in feature engineering, cross-validation, model interpretability (SHAP, LIME), and drift detection

Nice to Have:

  • Experience integrating external data enrichment sources (weather APIs, economic indicators, third-party signals)
  • Familiarity with retail loss prevention, exception-based reporting, or shrinkage analytics
  • Exposure to Power BI or Fabric-native reporting for operationalizing model outputs to business users
  • Knowledge of Azure ML and its relationship with Microsoft Fabric ML capabilities
  • Experience with irregular or non-reorderable inventory environments

Rachael

IT Services | Development | Staffing

URL: http:/www.sidramtech.com |

Email: rachael@sidramtech.com

Direct: 4705239688

Led by 25+ Years of Industry Experience

 

 

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