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Senior Data Scientist

Posted

nThrive, Inc
Headquarters: Alpharetta, GA
https://careers-nthrive.icims.com
See all nThrive, Inc jobs →

As a Senior Data Scientist in the Solutions Organization, you will responsible for developing and maintaining custom Data Science solutions using Machine Learning and Natural Language Processing.  As a Senior colleague, you will be responsible for making key technology decisions about our industry-leading Patient-to-Payment software solutions.  Your applied research and development responsibilities will include assuring scalable designs, optimizing the software solutions you create, and mentoring your colleagues.

  • Work with development team and Product Management to understand product requirements and support customer needs.
  • Develop new features; enhance existing functionality in current Data Science solutions.
  • Communicate and coordinate development activities with management and colleagues to ensure timely product delivery.
  • Exhibit consistent ownership of the products to which you are assigned.
  • Seek development opportunities above and beyond required training.
  • Maintain a broad knowledge of emergent trends in relevant Data Science, AI, and Software Development.
  • Ensure quality through unit testing, code review, and performance metrics.
  • Provide production support in conjunction with the support organization to resolve production issues.
  • Share what you know with other colleagues while learning from them. Provide mentoring and technical guidance to junior members to assure the team is successful.
  • Travel occasionally to meet with management, colleagues, clients, or 3rd party vendors.
  • Protect the integrity and confidentiality of all personal health data and proprietary information.
  • Observe all Policies and Procedures.
  • Supports nThrive’s Compliance Program by adhering to policies and procedures pertaining to HIPAA, FDCPA, FCRA, and other laws applicable to nThrive’s business practices. This includes: becoming familiar with nThrive’s Code of Ethics, attending training as required, notifying management or nThrive’s Helpline when there is a compliance concern or incident, HIPAA-compliant handling of patient information, and demonstrable awareness of confidentiality obligations.

  • Master's degree in Linguistics, Computational Linguistics, Machine Learning, Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent discipline.
  • 5+ years of experience delivering software solutions solving real business problems with Data Science, Machine Learning or Natural Language Processing.
  • Experience building and optimizing classification and/or regression Machine Learning models using various approaches such as LR, SVM, KNN, Neural Nets, MLPs, Random Forest, Naïve Bayes, or Decision Trees.
  • Experience with at least two languages from Python, Java, Scala, C#, C++, Ruby, Perl, or similar.
  • Experience developing software in an Agile environment.
  • Excellent interpersonal skills coupled to strong oral and written communications.
  • Excellent time management and self-motivation skills.

Preferred Skills

  • Ph. D in Linguistics, Computational Linguistics, Machine Learning, Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent discipline 
  • Mastery of a tool or framework such as Spark, DASK, Mahout, Hadoop, Azure, Theano, Torch, or TensorFlow
  • Experience using scalable distributed implementations using one or more frameworks such as Spark, DASK, Mahout, Hadoop, Azure, Theano, Torch, or TensorFlow
  • Experience with cloud-based solutions
  • Experience with Regular Expressions
  • Experience with text information extraction, grammars, semantics, and morphology
  • Experience with parsers, tokenizers, and other text based linguistic tools
  • Spoken and/or written fluency with one modern or ancient language in addition to your native language
  • Experience with structured and unstructured data
  • Creativity in compensating for incomplete or sparse data
  • Experience managing and utilizing curated corpora & ontologies
  • Familiarity with Test Driven Development (TDD) practices
  • Experience in Healthcare Information Technology