Data Scientist

Website SelectData

Where Coding Excellence Intersects AI Innovation

Select features, build, and optimize models using machine learning techniques.
Collaborate with software engineers and business leaders to improve data reliability and quality across the business using systems automation and integration.
Developing custom data models and algorithms to apply to data sets.
Monitoring model scoring and subsequent actions to detect model performance degradation and model behavioral drifts.
Encourage collaboration and work closely with product stakeholders to understand requirements.
Engage with Software Architect, Domain Experts, DBA, Data Engineers, and other team members to build trusted and well-organized datasets.
Meet with project leaders to ensure progress towards goals and requirements.
Support and participate in developing policies, standards, guidelines, and procedures.

Experience & Skills
Excellent understanding of machine leaning techniques (clustering, decision tree learning, neural networks, etc.), the natural language processing techniques, and their real-world advantages/drawbacks.
3+ years experience using common data science languages and toolkits such as Python, Tensorflow, scikit-learn, BERT, spaCy and/or SparkNLP.
Proficiency in using query languages such as SQL.
Experience with RESTful Web Services-based API.
Excellent communication skills and ability to collaborate in a multi-disciplinary team consisting of Software Engineers, Business Managers, and Clinicians.
Ability to clearly communicate design decisions and tradeoffs to executive team.
Healthcare solutions experience preferred

Optional Experience
Specific expertise in Search, Text Analytics, Deep Learning, and Document Classification
Familiarity with Object-Oriented design and methodologies.
Familiarity with Agile environment.
Familiarity with clinical terminologies like SNO-MED, LOINC, UMLS Metathesarus, etc.


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