Data Scientist

Data ScientistLocation: Portland, ORDuration: 2 year contractGeneral Job Duties:Use predictive modeling, machine learning, and other advanced analysis to increase and optimize customer experiences, revenue generation, prospect targeting and other business outcomes.Actively work with internal and external customers to analyze business data needs, gather and document business and data architecture requirementsDevelop data science pipelines with scalable endpoints and full orchestration/automationDevelop data and model pipelines with tools like AzureML SDK, Azure Data factory, Databricks, Spark or related technologiesCreate automated anomaly detection systems and monitor its performance and model driftEnsure highest levels of data accessibility, security, and quality at all stagesDevelop rapid prototype proof of concept solutions for viability studiesImplement model performance analysis monitoring and automate model retrainingAnalyze large amounts of data to discover trends and patternsEffectively communicate complex ideas, results to both technical and business/executive audiencesPerform ad-hoc analysis and present results in a clear and concise formatWork within an Agile team in a dynamic, fast-moving, collaborative environmentKeep current on latest data science technologies and products, including hands on evaluations and in-depth researchBasic Qualifications (Required Skills & Experience)Bachelor’s degree with focus in Technical or design field (Computer Science, Software Design, Data Science) from an accredited college/university and +6 years of related experience OR applicable Master’s degree +2 years of experienceExperience with numerous machine learning/deep learning models such as neural networks, classifiers, anomaly detectionExperience with Natural language processingExperience with methods of business validation of ML modelsExperience with statistical modeling and methodsExperience developing end-to-end model prediction pipelines on live dataExperience deploying and managing large cloud compute workloads for optimal speed and cost efficiencyExperience with columnar databases such as Azure Data Explorer or related technologiesExperience with Spark and related technologiesExperience on major cloud analytics platforms AWS, Google or Azure (Azure preferred)Strong analytical, conceptual, and problem-solving abilities.