Responsibilities:
- Collaborate with data and subject matter experts from client and its customer teams to seek, understand, validate, interpret, and correctly use data and business insights
- Train, validate and deploy machine learning pipelines
- Test, troubleshoot, and enhance customer software applications with and on behalf of customers
- Identify application performance bottlenecks and implement optimizations
- Write application specifications, tutorials and documentation
Preferred Qualifications:
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields
- Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning)
- Strong mathematical background (linear algebra, calculus, probability and statistics)
- Proficiency in time-series data analysis, cleansing, and normalization
- Experience with scalable Machine Learning (MapReduce, streaming)
- Software development experience with JavaScript and Python
- Experience with Git or other version control software
- Ability to drive a project and work both independently and in a team
- Smart, motivated, can do attitude, and seeks to make a difference
- Excellent verbal and written communication