Data Scientist

American Bureau of Shipping•Spring, TX

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.

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