Vacancy expired!
- Develop SQL queries to extract and wrangle data.
- Apply advanced statistical and predictive modeling methods including various time-series-based deep learning models such as Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU).
- Identify data requirements, available data source, and expected outcomes
- Recommend and support data collection, integration and retention requirements by assessing the effectiveness and accuracy of data source and data gathering techniques
- Coordinate with various teams to implement models
- Develop experimental design approaches to validate findings or test hypotheses
- Identify opportunities and find solutions hidden in large data sets to improve features and applications
- Provide ongoing performance tracking and monitoring of statistical models and recommend ongoing improvements to methods and algorithms
- Demonstrated experience solving loosely defined problems by leveraging pattern detection over potentially large data sets
- 2+ years of statistical modeling using tools such as Python, MATLAB, R, and/or SAS
- Experience creating and using advanced machine learning and deep learning algorithms and statistics.
- Experience applying statistical techniques and concepts
- 2+ years of industry experience with data storage and analysis tools such as SQL or other big data frameworks
- Experience with Intelligent Transportation Systems (ITS) or vehicular data
- Familiarity with either telematics, wireless networking, or V2V V2I communications protocols
- Experience programming within Unix-based operating systems, such as Linux
- Programming in Python
- Master’s Degree in any one of the following disciplines, or in a similar discipline:
- Computer Science, Machine Learning (w/1 year of full time industry experience in related field)
- PhD in Computer Science, Machine Learning, or a similar area of study (w/3 years of industry experience in related field)
Vacancy expired!