General Electric Off Campus Drive 2022 For Data Scientist – Fresher

General Electric Off Campus Drive 2022: General Electric Off Campus Drive 2022 For Data Scientist – Fresher. B.E / B.Tech candidates can apply. The detailed eligibility and application process are given below.

About Company: GE drives the world forward by tackling its biggest challenges: Energy, health, transportation—the essentials of modern life. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. For more than 125 years, GE has invented the future of industry, and today it leads new paradigms in additive manufacturing, materials science, and data analytics. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers.

Job Title: Data Scientist – Fresher

Location: Bangalore / Hyderabad

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Job Description:

  • 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.

Responsibilities:

  • 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.

Skills:

  • 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, and Timeseries modelling would be an added advantage.

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Qualification: B.E / B.Tech

Work Experience: Freshers

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How to Apply for General Electric Off Campus Drive 2022?

Interested and Eligible candidates can apply for this drive online by using the link below.