GE Digital Careers 2023 | GE Digital fresher(0-2) Hiring for Data Scientist position in Bangalore/Hyderabad location. B.E/B.Tech candidates are eligible. Apply link and job description given below.
Company Name: GE Digital
Role: Data Scientist
Location: Bangalore/Hyderabad
Experience: Freshers(0-2)
Qualification: B.E/B.Tech
Batch: Not Mentioned
Job Type: Full Time
Salary: Best in Industry
GE Digital Careers 2023
Job Description:
- 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.
Requirements:
- 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
How To Apply For GE Digital Careers 2023?
Eligible candidates apply for this Drive online by following the link. All details will be shared via email.
Apply For GE Digital Careers 2023
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