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This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.Responsibilities may include:
- Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations- Managing multiple projects simultaneously- Communicating with and supporting various internal stakeholders and external audiences
- 6+ years of building machine learning models for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 15+ years of relevant, broad research experience
- Deep expertise in Machine Learning
- Proficiency in programming
- core competency in mathematics and statistics.
- Track record of successful projects in algorithm design and product development.
- Publications at top-tier peer-reviewed conferences or journals.
- prior experience with mentorship and/or management of scientists
- Thinks strategically, but stays on top of tactical execution.
- Exhibits excellent business judgment; balances business
- Effective verbal and written communication skills
- Experience working with real-world data sets and building scalable models from big data.
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow,
- Experience with large scale distributed systems
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