The company is looking to solve real-world problems using state-of-the-art data science methods for data-driven decision-making.
Requirements
- Knowledge of data architectures and database design
- Knowledge in applying system identification methods like Kalman filters, particle filters, etc. to real-world problems
- Knowledge of machine learning and artificial intelligence methods
- Experience with applications such as Python, MATLAB, R, or similar
- Familiarity with database architectures such as SQL, NoSQL, or similar
- Familiarity with distributed storage and processing for Big Data (e.g., Hadoop or similar)
- Specialties in utilizing data in developing physics-based and time-series models
Responsibilities
- Work with internal departments (Digital, Survey, Engineering, etc.) and external stakeholders to leverage data to drive organizational decision-making in areas like maintenance, service, improvements, event predictions, etc.
- Utilize knowledge of modern data-driven methods and domain understanding to support the creation of new products, services, and insights.
- Be able to write independent source code, validate and test for model quality assessment and improvement
- Develop data collection efforts for data quality improvement, in both existing and new data streams to support overall business goals
- Comfortable working independently on data engineering, pre-processing, and data preparation tasks to prepare data for further analysis
- Generate Intellectual Property for the company
- Stay current in the field of advanced analytics and take initiative to apply new technologies
Other
- Bachelor’s degree in data science, Statistics, Computer Science, Engineering, or another relevant field degree required
- Master’s degree in Data Science, Statistics, Computer Science, Engineering, or another relevant field preferred
- Minimum 0-4 years of relevant experience in data/analytics.
- Strong written and verbal communications skills
- Ability to develop a working knowledge of ABS Rules, Guides, statutory regulations, and related instructions, as well as the ABS Employee Safety Policy.
