Data Scientist Job Vacancies At GE Aerospace :-
GE Aerospace is hiring candidates for the role of Data Scientist for the Bengaluru, Karnataka, India locations. The complete details about Data Scientist Job Vacancies At GE Aerospace are as follows.
| Company Name:- | GE Aerospace |
| Required Education: | Bachelor’s Degree in Computer Science or “STEM” Majors |
| Required Skills: | Programming languages and analytic software tools (e.g., Python, R, SAS, SPSS). Strong understanding of machine learning algorithms, statistical methods, and data processing techniques. |
| Department: | Digital Technology / IT |
| Job Category: | Aviation Digital Technology |
Qualifications
Qualifications/Requirements:
- Bachelor’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with basic experience.
Desired Characteristics:
- Expertise in one or more programming languages and analytic software tools (e.g., Python, R, SAS, SPSS). Strong understanding of machine learning algorithms, statistical methods, and data processing techniques.
- Exceptional ability to analyze large, complex data sets and derive actionable insights. Proficiency in applying descriptive, predictive, and prescriptive analytics to solve real-world problems.
- Demonstrated skill in data cleansing, data quality assessment, and data transformation. Experience working with big data technologies and tools (e.g., Hadoop, Spark, SQL).
- Excellent communication skills, both written and verbal. Ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams
- Demonstrated commitment to continuous learning and staying up-to-date with the latest advancements in data science, machine learning, and related fields. Active participation in the data science community through conferences, publications, or contributions to open-source projects.
- Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Flexibility to work on diverse projects across various domains.
Technical Expertise:
- Awareness of feature extraction and real-time analytics methods.
- Understanding of analytic prototyping, scaling, and solutions integration.
- Ability to work with large, complex data sets and derive meaningful insights.
- Familiarity with machine learning techniques and their application in solving real-world problems.
- Strong problem-solving skills and the ability to work independently and collaboratively in a team environment.
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
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
- Humble: respectful, receptive, agile, eager to learn
- Transparent: shares critical information, speaks with candor, contributes constructively
- Focused: quick learner, strategically prioritizes work, committed
- Leadership ability: strong communicator, decision-maker, collaborative
- Problem solver: analytical-minded, challenges existing processes, critical thinker
Skills Required
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.
Essential 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
- 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
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Share and discuss findings with team members.
Data Scientist Job Vacancies At GE Aerospace Application Process:-
Apply In Below Link
Note:– Only shortlisted candidates will receive the call letter for further rounds
