Job Description
What we’ll bring:
- A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.
- Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.
What You'll Bring
What you’ll bring:
- Ph.D. or master’s degree in computer science, electrical engineering, physics, mathematics, statistics, or other quantitative discipline.
- In-depth knowledge of machine learning tools and techniques such as neural networks, decision trees, support vector machines, genetic algorithms, logistic regression, clustering, variable selection, etc.
- Knowledge of some combination of C/C++, Python, R, or other general-purpose programming languages.
- Experience working with large, real-word data sets.
- Unix/Linux commandline.
What We’d Prefer To See
- Research and publication history in peer-reviewed scientific or technical journals and conferences.
- Previous experience doing predictive analytics in banking and finance, healthcare, gaming, telco, marketing, or other industry.
Impact You'll Make
Impact you’ll make:
- You’ll design and implement machine learning algorithms for real-world predictive analytics in a production environment
- You’ll leverage our in-house “Big Data” to build predictive models on computing clusters with hundreds of nodes and massive volumes of data
- You’ll design and write programs for data extraction, segmentation and statistical analysis on large population datasets using proprietary parallel computing platforms.
- You’ll deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.