As a Data Scientist, you will be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business.
Requirements
- 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP
- 3 years of experience with statistical and data mining tools and methods
- 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)
- 3 years of experience working with SQL
- 3 years of experience working in a UNIX environment
- 3 years of experience in at least one scripting language (e.g., BASH)
- 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)
Responsibilities
- Analyze, manipulate and process large sets of data
- Develop predictive and prescriptive statistical models from large sets of structured and unstructured data
- Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models
- Develop machine learning algorithms
- Apply feature selection algorithms to models predicting outcomes of interest
- Apply sampling techniques to determine groups to be surveyed
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance
Other
- Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders
- Identify business problems or leader objectives that can be addressed through data analysis
- Communicate analyses, conclusions and solutions clearly to all audiences
- Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work and communicate this information to the project manager
- Master’s degree in mathematics, statistics, computer science or a related field or equivalent experience
