Staff Data Science Engineer, SMAI

Micron Technology, Inc; Hyderabad; On-site; INR 2,500,000 - 5,500,000; Full time

Benefits offered by this job

Medical, dental and vision plans

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. is seeking a Data Scientist 4 to advance analytics in our highly automated industrial manufacturing environment. You will work on terabytes and petabytes of diverse data, applying cutting-edge machine learning and statistical methods.

Ideal candidates will extract data via SQL, cleanse data, and develop scalable models using Python/R, PySpark, Hadoop, and TensorFlow. Experience with MES and manufacturing data is a plus, but not required.

Qualifications

• Experience with data science in manufacturing analytics.
• Exposure to semiconductor industry a plus but not required.
• Strong data cleansing and missing data techniques.

Responsibilities

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience with or desire to learn: Machine learning and other advanced analytical methods; Fluency in Python and/or R; pySpark and/or SparkR and/or SparklyR; Hadoop (Hive, Spark, HBase); Tensorflow and/or other statistical software; SSIS, ETL; Javascript, AngularJS 2.0, Tableau.
• Experience extracting data from databases via SQL and applying data cleansing, outlier identification, and missing data techniques.

Skills

Agentic AI

Statistical modeling

Feature extraction

Supervised/unsupervised/semi-superised

Python

R

pySpark sparkR sparklyR

Hadoop Hive Spark HBase

Teradata SQL

TensorFlow

SSIS ETL

JavaScript AngularJS 2.0 Tableau

Tools

SQL databases

Job description

Responsibilities

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: Agentic AI, statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
  • Machine learning and other advanced analytical methods
  • Fluency in Python and/or R
  • pySpark and/or SparkR and/or SparklyR
  • Hadoop (Hive, Spark, HBase)
  • Teradata and/or another SQL databases
  • Tensorflow, and/or other statistical software including scripting capability for automating analyses
  • SSIS, ETL
  • Javascript, AngularJS 2.0, Tableau
• 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
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Job Profile(s)

Data Scientist 4

Relocation level: (TBD)

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.