Micron Off Campus Drive for Data Science Engineer, SMAI in Hyderabad

Harman is hiring for the post of Data Science Engineer, SMAI in Hyderabad. Candidates who are looking for this opportunity can apply for this position before the last of the application. Check eligibility details and application process given below.

Company Name: Harman 

Job Location: Hyderabad

Job Role: Data Science Engineer, SMAI

Experience: Freshers

Employment Type: Full Time

Selection Type: Online

Educational Qualifications: Bachelor's Degree

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Job Responsibilities:

Broad knowledge and experience in:

• Strong software development skills.
• Strong UI/UX design skills
• Strong knowledge in Web Technologies
• Experience with various frameworks and processes, such as Agile
• 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. 
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics
• Knowledge in Cloud based data engineering and Machine Learning Model
• Knowledge in building APIs for application integration.
• Knowledge in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
• Data Analysis and Validation skills

Above average skills in:

• Expertise in Angular, Javascript and CSS
• Programming Fluency in Python and/or R
• Knowledge in Data Science, Machine learning and other advanced analytical methods
• Knowledge in javascript, AngularJS 2.0, is MUST.
• Knowledge in Dotnet and C# is added advantage.
• Optional : Knowledge in Hadoop stack (Hive, HDFS, HBase and Spark)
• Optional: Understanding of pySpark and/or SparkR and/or SparklyR
• Optional: Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses
• Optional: Experience working with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus

Demonstrated ability to:

• Work in a dynamic, fast-paced, work environment
• Self-motivated with the ability to work under minimal direction
• To adapt to new technologies and learn quickly
• A passion for data and information with strong analytical, problem solving, and organizational skills
• Work in multi-functional groups, with diverse interests and requirements, to a common objective
• Communicate very well with distributed teams (written, verbal and presentation) 

   

How To Apply:

• Visit the official website/ click on given link below
• Fill all the application details
• Upload the updated Resume

Application Link: APPLY NOW