Micron is hiring Associate Data Science Engineer. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.
About Micron
Micron Technology, Inc. is an American semiconductor company that specializes in computer memory and data storage. Founded in 1978, Micron has grown to become one of the largest memory chip manufacturers in the world, producing a wide range of products including DRAM, NAND flash memory, and solid-state drives. With headquarters in Boise, Idaho, the company has a global presence, with manufacturing facilities and sales offices in countries around the world. Micron’s technology is used in a variety of applications, including consumer electronics, cloud computing, and automotive systems, among others.
Micron Recruitment 2023
| Company name | Micron |
| Website | www.micron.com |
| Job Role | Associate Data Science Engineer |
| Work Location | Hyderabad |
| Job Type | Full Time |
| Experience | Freshers |
| Qualification | Bachelor’s or Master’s degree(CS/ ECE/ IT/ EEE) |
| Batch | 7.0 CGPA & Above |
| Package | 9 LPA (Expected) |
Job Responsibilities
Roles and Responsibilities:
The roles and responsibilities encompass a wide range of tasks, including but not limited to:
- Demonstrating comprehensive knowledge and hands-on experience in:
- Expressing a strong aspiration to advance as a Data Scientist within the realm of highly automated industrial manufacturing. This involves conducting analyses and implementing machine learning techniques on vast datasets ranging in the terabytes and petabytes.
- Proficiency in extracting data from diverse databases using SQL and other query languages, coupled with the application of data cleansing methodologies, identification of outliers, and handling missing data.
- Application of cutting-edge mathematical and statistical techniques to dissect data and unveil intricate patterns.
- Manifesting interest in the development of web applications as an integral part of the job responsibilities.
- Possessing expertise in Cloud-based Analytics and Machine Learning Modeling.
- Crafting APIs for seamless application integration.
- Navigating through areas such as statistical modeling, feature extraction and analysis, feature engineering, and various modes of learning including supervised, unsupervised, and semi-supervised.
- Showcasing adeptness in data analysis and validation.
- Displaying robust skills in software development.
- Demonstrating above-average proficiency in the following areas:
- Fluent programming skills in Python.
- Profound comprehension of statistics, machine learning, and other advanced analytical methodologies.
- Familiarity with JavaScript, AngularJS 2.0, and Tableau, providing an additional advantage.
- Background knowledge in Object-Oriented Programming (OOPS), which adds to the skillset.
- Grasping the essence of PySpark and/or libraries designed for distributed and parallel processing, thereby providing an edge.
- Familiarity with TensorFlow, as well as other statistical software with scripting capabilities tailored for automating analyses.
- Proficiency in handling time series data, images, semi-supervised learning, and data characterized by frequently changing distributions, offering an added advantage.
- Understanding the intricacies of Manufacturing Execution Systems (MES), which contributes positively.
- Displaying a demonstrated ability to:
- Thrive in a dynamic, fast-paced work environment.
- Exhibit self-motivation and operate effectively with minimal supervision.
- Swiftly adapt to emerging technologies and acquire new skills.
- Harbor a genuine enthusiasm for data and information, underscored by strong analytical, problem-solving, and organizational proficiencies.
- Collaborate within multifunctional groups possessing diverse interests and requirements, while steering towards common objectives.
- Communicate eloquently with distributed teams through written, verbal, and presentation mediums.
Education Requirements and Eligibility:
Candidates should hold a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or Electronics Engineering.
Minimum CGPA Requirement:
A CGPA of 7.0 or higher is mandatory.
Location:
The position is based in Hyderabad.
How to Apply?
- To apply for a job, read through all information provided on the job listing page carefully.
- Look for the apply link on the job listing page, usually located somewhere on the page.
- Clicking on the apply link will take you to the company’s application portal.
- Enter your personal details and any other information requested by the company in the application portal.
- Pay close attention to the instructions provided and fill out all necessary fields accurately and completely.
- Double-check all the information provided before submitting the application.
- Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
- Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.