Data Scientist- Digital Solutions
Company Name:-
ABS
Job Location:-
Houston, TX
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionJob Capsule
The Data Scientist analyzes 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.
Job Duties/Roles
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
Involved in all phases of research and experiment design and analysis, including defining research questions, designing experiments, identifying data requirements, conducting statistical or machine learning-based modeling, and communicating insights and recommendations
Develop machine learning models and work with engineering team to deploy to production
Identifies available internal and external data resources to develop and deliver information solutions, including analytical information.
Knowledge in applying system identification methods like kalman filters, particle filters, etc.
to real world problems
Knowledge in 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 c
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