Exciting Opportunity for Data Science Engineers – Join the Future of Industrial AI and Analytics | Micron

Overview:
We are seeking passionate and skilled Data Science Engineers to join our dynamic team and help shape the future of data-driven decision-making in industrial manufacturing. If you’re enthusiastic about data science, machine learning, cloud technologies, and large-scale analytics, and are eager to work in a collaborative environment with cutting-edge tools, this role is ideal for you.

What We Expect from the Role:

As a Data Science Engineer, your core responsibility will be to design, develop, and deploy intelligent data science and machine learning pipelines both on-premise and in the cloud. You’ll work closely with a cross-functional team comprising Data Scientists, Data Engineers, UX professionals, and Business Analysts to transform complex datasets into actionable insights and scalable solutions.

Job Description :-

Key Responsibilities:

• Build and maintain automated ML and data pipelines for large-scale industrial datasets.
• Extract and manipulate data using SQL and other query languages; perform data cleansing, outlier detection, and handle missing values.
• Apply advanced statistical and machine learning techniques for pattern recognition, prediction, and classification tasks.
• Collaborate with cross-functional teams to identify business problems and deliver impactful AI/ML-based solutions.
• Develop intuitive web-based data applications and visualizations using modern UI technologies.
• Leverage cloud-based platforms (AWS, Azure, etc.) for scalable analytics and model deployment.
• Build and manage APIs for smooth application integration and workflow automation.

Preferred Skills and Competencies:

• Strong programming skills in Python and knowledge of object-oriented programming (OOP).
• Expertise in statistics, supervised/unsupervised/semi-supervised learning, and data engineering.
• Experience with PySpark, TensorFlow, or other parallel/distributed processing tools is a plus.
• Familiarity with data visualization tools like Tableau and frontend technologies such as JavaScript, AngularJS 2.0 is an added advantage.
• Exposure to time-series data, image analytics, and shifting data distributions will be a strong plus.
• Knowledge of Manufacturing Execution Systems (MES) and experience in industrial environments are preferred.

Ideal Candidate Profile:

• Passionate about growing a career in data science and solving real-world industrial problems using AI/ML.
• Excellent analytical and problem-solving skills with a data-driven mindset.
• Strong communication skills to effectively interact with distributed teams and stakeholders.
• Self-starter with a quick learning ability and adaptability to new tools and technologies.
• Capable of managing tasks independently in a fast-paced, agile environment.
• Proven experience working in multi-disciplinary teams to achieve shared goals.

Education & Eligibility:

• Bachelor’s or Master’s Degree in Computer Science, Mathematics, Data Science, or Physics.
• A CGPA of 7.0 or above is required.
• Prior internship or project experience in machine learning, data engineering, or cloud analytics is a bonus.

Apply Through This Link: Click Here

Join our Telegram group: Click here

Follow us on Instagram: Click here

Follow us on WhatsApp: Click here