Micron Technology is hiring for a 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:

• On-site

Job requisition id:

• JR58215

Years of experience:

• Not explicitly mentioned (open to freshers and experienced candidates); 0-3 years

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Company description:

• Micron Technology is at the forefront of revolutionizing the way the world stores, accesses, and processes data.

• It stands as a global leader in memory and storage innovations, playing a crucial role in the growth of the data economy.

• The company is recognized for its commitment to transforming massive data into actionable intelligence that drives technology forward.

• Through its brands such as Micron® and Crucial®, the organization delivers an extensive range of cutting-edge DRAM, NAND, and NOR memory solutions.

• These offerings support AI-driven platforms, 5G technologies, data centers, mobile applications, and edge computing.

• At its core, Micron operates with a vision to enrich life for everyone by enabling faster learning, communication, and advancement.

• With strong values rooted in customer satisfaction, operational excellence, and innovation, the company fosters a culture of integrity and diversity.

• Employees are encouraged to learn continuously, contribute to meaningful projects, and take part in building technologies that impact global industries.

• Sustainability and community development are central to Micron’s operations, ensuring it remains responsible and impactful beyond business metrics.

• From employee well-being initiatives to community engagement and environmental responsibility, Micron takes a holistic approach to corporate citizenship.

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Profile overview:

• This position is ideal for individuals with a passion for data science and a desire to work at the intersection of advanced analytics and high-tech manufacturing.

• As a Data Scientist at Micron, you'll be working with extremely large volumes of data from varied sources, enabling process automation and predictive insights.

• You’ll participate in transforming raw data into meaningful patterns and solutions that support strategic decisions and production enhancements.

• The role involves significant engagement with statistical modeling, machine learning, and the development of intelligent applications.

• You’ll need to apply your analytical expertise to uncover insights from structured and unstructured data and use these insights to recommend improvements.

• Candidates must be comfortable with data wrangling, exploration, and visualization using modern tools and programming languages.

• There's also an opportunity to build web applications and APIs as part of broader projects, integrating AI and data science into real-world interfaces.

• Cloud-based analytics, distributed computing, and application development are core parts of the work environment.

• Collaboration is key – you’ll work alongside cross-functional teams and contribute to shared goals through analytical solutions.

• Ideal candidates are adaptable, self-driven, and capable of learning new technologies in a dynamic setting.

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Qualifications:

• A Bachelor's or Master’s degree in Computer Science, Electronics, or Electrical Engineering is required.

• Candidates should have secured at least a 7.0 CGPA or higher in their academic programs.

• Proficiency in Python is essential, along with a strong foundation in statistics and machine learning principles.

• Experience with SQL and other database querying tools is necessary for effective data extraction and transformation.

• Candidates should be comfortable using techniques like outlier detection, data cleaning, and handling missing values.

• Familiarity with front-end technologies like JavaScript and AngularJS 2.0 is an added advantage, especially for web application development.

• Knowledge of data visualization tools like Tableau is desirable.

• Understanding of object-oriented programming concepts adds value.

• Exposure to distributed computing frameworks like pySpark and related libraries is beneficial.

• Experience with TensorFlow and other statistical/machine learning libraries is helpful for model development and deployment.

• Applicants should be enthusiastic about working with time series, image data, or data affected by shifting patterns and distributions.

• Prior exposure to Manufacturing Execution Systems (MES) is considered a plus.

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Roles and Responsibilities:

Core Responsibilities:

• Interpret and analyze vast amounts of structured and unstructured data from various sources in the manufacturing domain.

• Develop machine learning models that optimize manufacturing processes and predict equipment behaviors.

• Build applications and tools that integrate advanced analytics into business operations.

• Design and implement data pipelines for real-time or batch analytics.

• Apply advanced statistical and mathematical techniques to solve business and operational challenges.

• Collaborate with engineering, IT, and business stakeholders to identify data science opportunities.

• Present findings clearly through visualizations, dashboards, and written communication.

Technical Skills & Tools:

• Demonstrated proficiency in Python for data manipulation, analysis, and modeling.

• Expertise in SQL for data extraction from relational databases.

• Working knowledge of machine learning models including supervised, unsupervised, and semi-supervised approaches.

• Exposure to cloud platforms (e.g., AWS, Azure) for scalable analytics solutions.

• Familiarity with time series forecasting, anomaly detection, and image processing is advantageous.

• Web application development experience is a strong plus.

• Ability to build and manage APIs for integrating models and applications.

• Knowledge of big data tools such as Spark, Hadoop, and distributed systems is helpful.

Collaboration & Communication:

• Work with cross-functional teams to understand project goals and define analytical needs.

• Share results and models with technical and non-technical stakeholders.

• Document data processes, model assumptions, and decision-making logic thoroughly.

• Be proactive in identifying areas for improvement or automation through data science.

• Maintain open communication with distributed global teams to ensure alignment and clarity.

Innovation & Learning:

• Stay updated with the latest research and tools in the data science and machine learning space.

• Experiment with new technologies and methodologies to enhance existing processes.

• Take ownership of learning new skills that align with Micron’s long-term digital transformation goals.

• Participate in knowledge-sharing sessions, hackathons, or internal R&D initiatives.

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Additional info:

Work Environment & Culture:

• The Sanand facility is part of Micron’s strategic manufacturing expansion and serves as a hub for innovation in India.

• The company supports a fast-paced and intellectually stimulating environment where professionals grow and thrive.

• Team members are encouraged to take initiative, innovate, and push boundaries in both technology and process excellence.

• Open communication, diversity, and mutual respect are deeply embedded in the company’s culture.

• The role provides opportunities to interact with global teams and contribute to large-scale industrial AI applications.

Perks and Benefits:

• Competitive compensation packages, aligned with industry benchmarks and performance metrics.

• A wide array of health benefits including medical, dental, and vision insurance for employees and families.

• Employee stock purchase program allows team members to buy Micron stock at a discounted rate.

• Generous paid time off and leave policies to maintain a healthy work-life balance.

• World-class learning resources and programs to support career development.

• Peer-to-peer recognition programs to celebrate achievements and contributions.

• Opportunities to volunteer and give back through the Micron Foundation.

• Wellness programs focused on mental, physical, and emotional health.

• Transparent hiring practices and zero tolerance for discrimination or recruitment fees.

• Strict compliance with all labor laws, including prohibition of child labor and unethical employment practices.

• Flexible project assignments and global mobility options may be considered for top-performing individuals.

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Please click here to apply.

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