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Data Scientist (5083)

Charlottesville, VA 22902

Posted: 08/07/2019 Employment Type: Direct Job Category: Data Scientist Job Number: 5083

Morton is seeking a Data Scientist for our client in Charlottesville, VA. This position is part of the AI Engineering group who partners with machine learning engineers and business partners to design and build AI-centric applications that transform products and operations. Data scientists apply the breadth of modern techniques in machine learning and natural language processing to build systems that power worldwide markets.

Responsibilities:
  • Partner with machine learning engineers to identify, scope, prototype, develop, deploy, and operate AI-powered applications in production settings
  • Work with stakeholders to design and implement robust machine learning systems that solve business problems
  • Stay abreast of emerging AI technologies to drive vision for products and operations
  • Evangelize data science concepts and wins to audiences inside and outside of organization
  • Approach problem-solving with a machine-learning-first mindset

Qualifications:
  • University degree in engineering or a related field
  • Experience seeking out problems and identifying and proposing creative, data-driven solutions
  • Strong programming skills with an understanding of what it takes to write and share high-quality code
  • Good conceptual knowledge of probability, statistics, and computer science
  • Strong SQL skills
  • Fluency in Python
  • Experience with machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow
  • Strong oral and written communication skills
  • Entrepreneurial spirit

Preferred Qualifications:
  • Graduate degree in a technical field
  • Experience designing, developing, and operating machine learning systems in production settings
  • A passion for designing and building software to help solve problems
  • Proficiency in an advanced data science topic, such as:
    • Computer vision
    • Natural language processing
    • Probabilistic programming
  • Publicly demonstrated data science competency, such as:
    • Conference talks
    • Open-source contributions
    • Published research
    • Knowledge of the finance and investment industry
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