Data Scientist
About The Position
The Data Scientist analyzes the complex and unstructured data using state-of-the-art data science methods for data-driven decision-making. This role uses knowledge of data science methods and applies analytics to solve real-world problems. The Data Scientist will work with customers to collect and understand data, perform wrangling, develop applications, and collaborate actively across the organization and with senior management to accomplish various objectives. What You Will Do: 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 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 Develop data collection efforts for data quality improvement, in both existing and new data streams to support overall business goals Be able to think independently and work as part of a cross-functional team to achieve common 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 Evaluate and partner with external customers, vendors, university relations, and other teams Stay current in the field of advanced analytics and take initiative to apply new technologies What You Will Need: Education and Experience 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.
Requirements
- Bachelor’s degree in data science, Statistics, Computer Science, Engineering, or another relevant field degree required
- Minimum 0-4 years of relevant experience in data/analytics.
- Ability to develop a working knowledge of ABS Rules, Guides, statutory regulations, and related instructions, as well as the ABS Employee Safety Policy.
- Strong written and verbal communications skills
- Experience in working as part of multi-faceted teams
- Experience in System Identification, Machine Learning, and other data science technologies such as Artificial Intelligence, Risk Analysis, and Statistical methods
- Specialties in utilizing data in developing physics-based and time-series models
- 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)
- Ability to quickly adapt and learn new domain
- Display an entrepreneurial mindset and think practical, ‘out of box’ solutions
- Obtain a working knowledge of the ABS Health, Safety, Quality, and Environmental Management Systems.
Nice To Haves
- Master’s degree in Data Science, Statistics, Computer Science, Engineering, or another relevant field preferred
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
- 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
- Develop data collection efforts for data quality improvement, in both existing and new data streams to support overall business goals
- Be able to think independently and work as part of a cross-functional team to achieve common 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
- Evaluate and partner with external customers, vendors, university relations, and other teams
- Stay current in the field of advanced analytics and take initiative to apply new technologies
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
