1

At Home Data Scientist Risk Jobs in Redmond, WA (NOW HIRING)

... data, at store/category/SKU level with 1-14 day horizons * Develop ML-based risk scoring models ... Science experience with a strong foundation in classical ML * Proficiency in supervised and ...

Data Scientist

Seattle, WA · On-site

$169K - $233K/yr

About Opendoor At Opendoor our mission is to tilt the world in favor of homeowners and those who ... Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how ...

Data Scientist

Seattle, WA · On-site

$169.60 - $233.20/hr

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one ... Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how ...

About Weyerhaeuser At Weyerhaeuser, we are the world's premier timberland, and forest products ... safety, and risk reduction. * Partner with Product Managers and Operation teams to identify ...

About Weyerhaeuser At Weyerhaeuser, we are the world's premier timberland, and forest products ... safety, and risk reduction. * Partner with Product Managers and Operation teams to identify ...

Data Scientist

Seattle, WA · On-site

$113K - $141K/yr

... of audiences at all organizational levels - must have strong data storytelling abilities ... Reliable, high-speed home internet connection * Private, confidential workspace, away from ...

We are seeking a Data Scientist II to join our Digital Intelligence team. In this role, you will ... Work on scoped fraud and identity risk problems where data quality, labels, telemetry coverage, and ...

Senior Data Scientist

Seattle, WA · On-site

$120 - $150/hr

Hands‑on Senior Data Scientist converting ambiguous scientific/business opportunities into ... Experience with evaluation rubrics, hallucination risk, causal inference, simulation/optimization ...

Senior Data Scientist

Seattle, WA · On-site

$151 - $183/hr

But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens ... Assess model and agent outputs for quality, uncertainty, calibration, bias, hallucination risk ...

But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens ... Assess model and agent outputs for quality, uncertainty, calibration, bias, hallucination risk ...

Conversica is seeking talented and passionate data scientists to help us evolve our artificial ... We are an equal opportunity employer and value diversity at our company. We do not discriminate on ...

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Data Scientist Company: PACCAR Requisition Summary As a Data Scientist you'll support the growth of ... Salary Range At PACCAR, the salary range for this position is $104,100 - $146,630 annually. This ...

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are: * With experience in data science, machine learning, statistical modeling, and/or deep learning ...

New

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Requisition Summary As a Data Scientist you'll support the growth of PACCAR Parts by using industry ... At PACCAR, we value talent and promote growth and development. We carefully consider numerous ...

Data Scientist, AIML Data Scientist

Seattle, WA · On-site

$175.50 - $263.80/hr

At Apple, new ideas have a way of becoming extraordinary products, services, and customer ... We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ...

At Microsoft, our mission to empower every person and every organization on the planet to achieve ... Goes deep hands-on when needed to resolve high-risk technical issues, validate architectural ...

next page

Showing results 1-20

At Home Data Scientist Risk information

See Redmond, WA salary details

$42K

$137.5K

$220.1K

How much do at home data scientist risk jobs pay per year?

As of Aug 15, 2026, the average yearly pay for at home data scientist risk in Redmond, WA is $137,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $152,300.00 per year, depending on experience, location, and employer.

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 job categories do people searching At Home Data Scientist Risk jobs in Redmond, WA look for?

The top searched job categories for At Home Data Scientist Risk jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for At Home Data Scientist Risk jobs?

Cities near Redmond, WA with the most At Home Data Scientist Risk job openings:

Data Scientist

Sidram Technologies

Seattle, WA • On-site

Contractor

Re-posted 18 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

 

 

E-Verify® is a registered trademark of the U.S. Department of Homeland Security.

SIDRAM TECHNOLOGIES  participates in the Employment Eligibility Verification Program (E-Verify) offered by USCIS.

www.dhs.gov/E-Verify