Micron Technology is hiring for an fresher entry level Data Scientist role in India

Position:

• Data Scientist

Company:

• Micron Technology, Inc.

Location:

• Sanand, Gujarat, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• JR58215

Years of experience:

• 0 to 3 years

Company description:

• Global leader in memory and storage solutions

• Known for innovations that fuel AI, 5G, and advanced data-driven technologies

• Provides high-performance DRAM, NAND, and NOR products through Micron and Crucial brands

• Deep commitment to sustainability, education, and local communities across global locations

• Focused on manufacturing excellence and technology leadership

• Prioritizes customer satisfaction and data economy advancement

• Operates with strong values around diversity, inclusion, and fair hiring practices

Profile overview:

• Entry-level role tailored for candidates passionate about analytics in automated manufacturing

• Emphasizes skills in handling large-scale datasets, running ML models, and building analytical apps

• Requires hands-on experience or knowledge in statistical modeling and various machine learning methods

• Opportunity to contribute to industry-grade tools and solutions while learning advanced techniques

• Collaboration with cross-functional global teams expected

• Involves both backend and front-end data science implementation

Qualifications:

• Bachelor’s or Master’s degree in Computer Science or Electrical/Electronic Engineering

• Minimum 7.0 CGPA required

• Solid grounding in Python and statistics

• Experience in data extraction, cleansing, and preprocessing using SQL

• Exposure to statistical and machine learning modeling (supervised, unsupervised, semi-supervised)

• Optional plus: understanding of AngularJS, Tableau, pySpark, OOPS, TensorFlow, time series

Additional info:

• Work culture supports innovation, continuous learning, and minimal supervision

• Strong emphasis on communication, adaptability, and a proactive mindset

• Must be comfortable working in high-paced manufacturing environments

• Encouraged to use AI tools for enhancing application materials but not misrepresenting information

• Company prohibits recruitment fees and maintains full transparency during hiring

• Special provisions available for applicants requiring accommodation during the application process

• Micron Foundation supports strategic giving and employee volunteering

• Sustainability is central to operations, focusing on building sustainable products and communities

Job Responsibilities :

• Handle data engineering tasks involving terabytes to petabytes of manufacturing data

• Extract data from SQL and other databases for analysis

• Clean, process, and validate data sets; identify outliers and manage missing data

• Apply statistical techniques and machine learning algorithms to reveal patterns and insights

• Contribute to the development of web-based analytical applications

• Design and deploy cloud-based analytics and ML models

• Build and maintain APIs for integration with internal tools and dashboards

• Work with time-series data, semi-supervised models, and data distributions that evolve over time

• Collaborate with diverse internal teams to meet shared goals

• Participate in end-to-end development lifecycle from data acquisition to model deployment

• Ensure proper documentation, code optimization, and scalability of solutions

• Stay updated on latest advancements in data science and manufacturing analytics

Technical Skills (Preferred):

• Python programming

• SQL for data extraction and transformation

• Machine Learning: Regression, Clustering, Classification

• Statistical analysis and feature engineering

• Working knowledge of JavaScript, AngularJS 2.0

• Familiarity with tools like Tableau and TensorFlow

• Understanding of pySpark and distributed computing frameworks

• OOPS programming fundamentals

• Time-series data analysis and image-based ML (optional)

Soft Skills:

• Strong analytical and critical thinking

• Self-motivated, requires minimal supervision

• Excellent verbal, written, and presentation skills

• Quick learner, especially in new technologies

• Effective collaboration across multi-functional global teams

• Organized and capable of managing multiple tasks

Please click here to apply.