Senior Applied Scientist

Boulder, CO 80302

Employment Type: Perm Job Category: Data Science Job Number: 19566

Sr. Applied Scientist

Key responsibilities include:
  • Scientists  are expected to develop new techniques to process large data sets and contribute to design of automated systems.
  • Apply ML, statistics or econometrics techniques to develop and analyze prototype models.
  • Design and analyze data from large-scale online experiments in order to validate prototype models.
  • Collaborate with scientists across teams in peer-review processes, publishing research in internal forms and industry conferences.
  • Partner closely with product and engineering teams to develop new measurement systems and translate prototype models to production.
  • Establish scalable, efficient, and automated processes for large scale model development, validation, and implementation.
  • Research and experiment with novel statistical modeling approaches.

Basic Qualifications
  • PhD or Masters in Computer Science, Statistics, or a related quantitative field with at least 5+ years of research experience in training and implementing advanced models (machine learning, predictive modeling, and analysis).
  • 4+ years hands-on experience programming in R, Java, C#, C++ or other similar programming languages
  • Algorithm and model development experience for large-scale applications

Preferred Qualifications
  • 7+ years of hands-on experience applying theoretical models in an applied environment
  • Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, Natural Language Processing, recommendation systems, dialogue systems, informational retrieval
  • Significant peer reviewed scientific contributions in premier journals and conferences
  • Proven track in leading, mentoring, and growing teams of scientists
  • Experience with digital media, online advertising or retail
  • Proven ability to work effectively in a cross-functional team
  • Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts

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