Data Scientist

Data Scientist

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.