Hybrid Senior Data Scientist - Retail Forecasting & ML

SIDRAM TECHNOLOGIES; Seattle (WA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

A technology staffing firm seeks a Senior Data Scientist for a hybrid role in Seattle, Washington. The candidate will design and operationalize predictive models in Microsoft Fabric, focusing on demand forecasting and risk scoring in retail. Ideal applicants have 8-12 years of Data Science experience, strong skills in classical ML, and proficiency with Microsoft Fabric's tools. This position includes working on real-world use cases and requires excellent communication with technical teams and stakeholders.

Qualifications

• 8–12 years of hands‑on Data Science experience with a strong foundation in classical ML.
• Strong hands‑on experience with Microsoft Fabric, building production‑grade ML code.
• Proficiency in supervised and unsupervised ML techniques.

Responsibilities

• Design and develop end‑to‑end classical ML pipelines.
• Build demand forecasting models using external data signals.
• Deliver daily prioritized outputs that reduce detection cycles.

Skills

Machine Learning

Azure Machine Learning

Artificial Intelligence

MLOps

AI Solution Architecture

Microsoft Azure

Microsoft Fabric

Job description

A technology staffing firm seeks a Senior Data Scientist for a hybrid role in Seattle, Washington. The candidate will design and operationalize predictive models in Microsoft Fabric, focusing on demand forecasting and risk scoring in retail. Ideal applicants have 8-12 years of Data Science experience, strong skills in classical ML, and proficiency with Microsoft Fabric's tools. This position includes working on real-world use cases and requires excellent communication with technical teams and stakeholders.