Data Scientist
Software Technology Inc
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.
Vacancy posted 4 days ago
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