Job Description Summary

The Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

Job Description

Roles and Responsibilities

As a Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.

• Good, applied statistics Skills such as distributions, statistical testing, regression, maximum likelihood estimators etc.,
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Strong Math Skills (Multivariable calculus and Linear Algebra) and theoretical understanding of algorithm optimization techniques
• Share and discuss findings with team members.

Education Qualification

Bachelor’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with basic or minimum of 2 years of experience

Desired Characteristics

• Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python) and demonstrated ability to work on database query languages like SQL etc.
• Handling imperfections in the data and Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
• Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics on industrial or other similar domain related datasets
• Excellent understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision forests etc.
• Exposure in using advanced ML Frameworks dealing with NLP, Computer vision, Timeseries modelling would be an added advantage.

Note

This Job Description is intended to provide a high-level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

Additional Information