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TD Intern Data Science

Internship On Site (Internship) @Micron Technology in Data Science
  • Hyderabad View on Map
  • Post Date : March 24, 2022
  • Apply Before : April 23, 2022
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Job Description

Strong desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets

· Strong verbal and written communication skills

· Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised machine learning

· Experienced in software development and data structures

· Understanding of basic Machine Learning algorithms

· Fluent in Python and/or R

· Experienced in modern Machine Learning libraries

· Fluent in pySpark and/or SparkR

· Fluent in executing data extraction from variety of data sources (Teradata, Oracle, MS SQL, etc.)

· Exposure to any high dimensional, skewed and frequently changing datasets

· Exposure to in Data Visualization

· Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

· Continues to evolve skillset via internal and external education opportunities

  • Additional Description

Successful Candidates must have the following Qualifications:

· Display a positive attitude toward Micron and its policies

· Organize tasks for maximum efficiency, incorporating department priorities

· Excellent multi-tasking, time-management, organization and prioritization skills

· Proven ability to establish and maintain effective relationships

· Proven ability to communicate complex analysis in a succinct and actionable manner

· Proven ability to plan, drive and complete projects effectively

· Proven skills in working effectively with team members from different disciplines

· Demonstrated critical thinking skills

· Demonstrated strong written and verbal communication skills

· Demonstrated ability to be detailed oriented and able to follow complex procedures

· Proven ability to prioritize responsibilities and manage multiple tasks

· Demonstrated ability to continuously learn and self-improve

· Demonstrated ability to identify, develop, propose, and implement effective plans to improve overall efficiency

· Demonstrated ability to organize and efficiently facilitate meetings and project teams

· Demonstrated analytical problem solving skills with ability to troubleshoot complex problems and address root causes

· Strong partnering and team-working skills

· Proven ability in multi-tasking complex projects

· Proven ability to communicate and present technical information effectively

Education:

· Major in Mathematics, Computer Science, Data Science, Physics, Electrical & Electronics, Mechanical and Chemical Engineering

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