Associate Data Scientist (Azure)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Associate Data Scientist (Azure/ML): Developing and implementing AI-assisted marketing analytics solutions with an accent on machine learning models and cloud-native integration. Focus on building scalable ML pipelines, optimizing inference performance, and operationalizing models using MLOps.
Location: Bellevue or Seattle, WA
Salary: $46,000 – $111,000
Company
is a global business and technology transformation partner helping organizations accelerate their transition to a digital and sustainable world.
What you will do
- Develop AI-assisted marketing analytics solutions to drive business growth and improve customer engagement.
- Design and optimize ML models across supervised, unsupervised, and reinforcement learning paradigms.
- Build, train, and deploy models using Azure Machine Learning and associated SDKs.
- Design and maintain scalable data and ML pipelines using Azure Data Factory, Databricks, Synapse Analytics, and ADLS.
- Implement MLOps best practices and CI/CD pipelines using Azure DevOps or GitHub Actions.
- Collaborate with data engineers and product managers to integrate ML solutions into business platforms.
Requirements
- Strong knowledge of ML algorithms including Linear/Logistic Regression, Decision Trees, Random Forest, GBM, and DNN.
- Experience with NLP, computer vision, recommendation systems, and predictive analytics.
- Proficiency in feature engineering, data preprocessing, and hyperparameter tuning.
- Ability to deploy and operationalize models using AKS, Azure Container Instances, or Azure Functions.
- Experience monitoring model performance, data drift, and ensuring data governance compliance.
- Location: Must be based in Bellevue or Seattle, WA
Culture & Benefits
- Comprehensive medical, dental, and vision coverage.
- Retirement savings plans, including 401(k) in the U.S.
- Paid time off, including vacation, company holidays, personal days, and sick leave.
- Access to a collaborative global community of professionals.
- Supportive environment focused on empowering employees to shape their own careers.
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