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.

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.
In this role, you will:

• Develop analytics within well-defined projects to address customer needs and opportunities.
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Work with data engineers on data quality assessment, data cleansing and data analytics

• 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.

Technical Expertise:

• Demonstrated awareness of feature extraction and real-time analytics methods
• Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration

Domain Knowledge:

• Demonstrated awareness of industry and technology trends in data science
• Demonstrated awareness of customer and stakeholder management and business metrics

Leadership:

• Demonstrated awareness of how to function in a team setting
• Demonstrated awareness of critical thinking and problem solving methods
• Demonstrated awareness of presentation skills

Personal Attributes:

• Demonstrated awareness of how to leverage curiosity and creativity to drive business impact

Note This 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

Relocation Assistance Provided: Yes