Responsibilities and Deliverables:
As a Data Scientist and Computer Engineer, your deliverables will include, but not limited to the following:
- Analyze large, complex data sets and develop predictive models and analytical insights
- Research the latest machine learning methods, forecasting techniques, and optimization methods and apply them in practice
- Create data pipelines ranging from data collection to preprocessing to feature generation
- Be a highly motivated, self-starter who is passionate about technology and solving problems in a creative manner
- Work with multidisciplinary teams ranging from UI/UX designers to product managers to software engineers all over the world
Required Experience:
- Bachelors/Masters/PHD in a quantitative discipline such as Computer Science, Mathematics, Statistics, or Operations Research
- Experience with a scripting language such as python
- Development experience with data analysis libraries such as numpy and pandas
- Understanding of Machine Learning principles and familiarity with libraries such as sklearn
- Experience using deep learning frameworks such as tensorflow, pytorch, MXnet, or keras
- Applied experience with machine learning on large datasets
- Experience collecting, preprocessing, and generating features for machine learning models
- Demonstrated skill in selecting the right statistical tools for a data analysis problem
- Full-stack development is a plus
- Go getter who can take ideas and bring them to life
- Ability to fail fast and obtain quick wins
- Passion to succeed and takes pride in their work
- Ability to work independently as well as work effectively with a team