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Über
Location: Portland, OR Duration: 2 year contract General 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 requirements Develop data science pipelines with scalable endpoints and full orchestration/automation Develop data and model pipelines with tools like AzureML SDK, Azure Data factory, Databricks, Spark or related technologies Create automated anomaly detection systems and monitor its performance and model drift Ensure highest levels of data accessibility, security, and quality at all stages Develop rapid prototype proof of concept solutions for viability studies Implement model performance analysis monitoring and automate model retraining Analyze large amounts of data to discover trends and patterns Effectively communicate complex ideas, results to both technical and business/executive audiences Perform ad-hoc analysis and present results in a clear and concise format Work within an Agile team in a dynamic, fast-moving, collaborative environment Keep current on latest data science technologies and products, including hands on evaluations and in-depth research Basic 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 experience Experience with numerous machine learning/deep learning models such as neural networks, classifiers, anomaly detection Experience with Natural language processing Experience with methods of business validation of ML models Experience with statistical modeling and methods Experience developing end-to-end model prediction pipelines on live data Experience deploying and managing large cloud compute workloads for optimal speed and cost efficiency Experience with columnar databases such as Azure Data Explorer or related technologies Experience with Spark and related technologies Experience on major cloud analytics platforms AWS, Google or Azure (Azure preferred) Strong analytical, conceptual, and problem-solving abilities.
Sprachkenntnisse
- English
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