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Engineer, Data Science

Hyderabad, TS, IN

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Apply at Micron Technology

What you’ll work on

Full posting
  • Apply machine learning and statistical modeling to manufacturing data

  • Extract and integrate data from multiple sources using SQL, APIs and ETL/ELT pipelines

  • Cleanse and transform data, handling outliers and missing values

  • Communicate technical findings to technical and business stakeholders

From the employer’s posting
Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling
Ability to extract and integrate data from multiple sources using SQL, APIs, ETL/ELT pipelines
Strong understanding of data cleansing, feature extraction, outlier detection, missing-data handling
Strong verbal and written communication skills with the ability to communicate technical findings effectively to both technical and business stakeholders

What you’ll bring

All qualifications

Core experience

  • Strong Python and/or R with solid software development skills
  • Experience with SQL databases and large-scale data platforms such as Snowflake or Teradata
  • Knowledge of machine learning, statistical modeling and feature engineering
  • Experience with TensorFlow, PyTorch, scikit-learn or similar frameworks
Qualification wording
Strong proficiency in Python and/or R, with solid software development and scripting capabilities
Experience working with SQL databases and large-scale data platforms, including Snowflake, Teradata, or similar technologies
Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering
Experience with TensorFlow, PyTorch, scikit-learn, or other machine learning/statistical frameworks

Tools in this posting

  • JavaScript
  • Python
  • R
  • SQL
  • Azure
  • Databricks
  • Power BI
  • Snowflake
  • Spark
  • Tableau
  • PySpark
  • PyTorch
  • scikit-learn
  • TensorFlow
Source — Tool mentions in context
Responsibilities include, but not limited to: Strong interest in building a career in Data Science, Machine Learning, Generative AI, and Agentic AI within highly automated manufacturing environments. * Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering, exploratory data analysis, and supervised/unsupervised/semi-supervised learning. * Strong proficiency in Python and/or R, with solid software development and scripting capabilities. * Experience working with SQL databases and large-scale data platforms, including Snowflake, Teradata, or similar technologies. * Knowledge of the Snowflake ecosystem, including data transformation, analytical workloads, and integration of Snowflake data with Python/ML applications. Experience with Snowpark, Snowflake Cortex AI, or similar AI/ML capabilities is a plus. * Experience with Microsoft Azure technologies, particularly services used for data, analytics, AI, and application deployment. Exposure to Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure OpenAI, ADLS, or related Azure services is desirable. * Ability to extract and integrate data from multiple sources using SQL, APIs, ETL/ELT pipelines, and other query mechanisms. * Strong understanding of data cleansing, feature extraction, outlier detection, missing-data handling, data quality, and data transformation techniques. * Experience with distributed data processing technologies such as PySpark, Apache Spark, SparkR, or SparklyR. * Experience with TensorFlow, PyTorch, scikit-learn, or other machine learning/statistical frameworks. * Experience working with time-series data, image data, semi-supervised learning, anomaly detection, and datasets with frequently changing distributions is a plus. * Familiarity with SSIS, ETL/ELT processes, data pipelines, and data integration patterns. * Exposure to visualization or application technologies such as Tableau, Power BI, JavaScript, or Angular is beneficial. * Experience working with Manufacturing Execution Systems (MES) or semiconductor/manufacturing datasets is a plus but not required. * Experience with Generative AI, RAG, AI agents, LLM-based applications, prompt engineering, or enterprise AI solutions is highly desirable. * Strong software engineering fundamentals, including writing maintainable, reusable, production-quality code and working with version-control practices. * Strong analytical and problem-solving skills with the ability to translate complex business/manufacturing problems into scalable data and AI solutions. * Strong verbal and written communication skills with the ability to communicate technical findings effectively to both technical and business stakeholders. * Publications at conferences such as CVPR, NeurIPS, ICML, or KDD are a plus; however, this is an applied Data Science position rather than a research role. Job Profile(s):

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 2026 · 2 days ago
Recorded sightings
11
Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

Req. ID: JR115190 Engineer, Data Science Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities include, but not limited to: Strong interest in building a career in Data Science, Machine Learning, Generative AI, and Agentic AI within highly automated manufacturing environments. * Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering, exploratory data analysis, and supervised/unsupervised/semi-supervised learning. * Strong proficiency in Python and/or R, with solid software development and scripting capabilities. * Experience working with SQL databases and large-scale data platforms, including Snowflake, Teradata, or similar technologies. * Knowledge of the Snowflake ecosystem, including data transformation, analytical workloads, and integration of Snowflake data with Python/ML applications. Experience with Snowpark, Snowflake Cortex AI, or similar AI/ML capabilities is a plus. * Experience with Microsoft Azure technologies, particularly services used for data, analytics, AI, and application deployment. Exposure to Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure OpenAI, ADLS, or related Azure services is desirable. * Ability to extract and integrate data from multiple sources using SQL, APIs, ETL/ELT pipelines, and other query mechanisms. * Strong understanding of data cleansing, feature extraction, outlier detection, missing-data handling, data quality, and data transformation techniques. * Experience with distributed data processing technologies such as PySpark, Apache Spark, SparkR, or SparklyR. * Experience with TensorFlow, PyTorch, scikit-learn, or other machine learning/statistical frameworks. * Experience working with time-series data, image data, semi-supervised learning, anomaly detection, and datasets with frequently changing distributions is a plus. * Familiarity with SSIS, ETL/ELT processes, data pipelines, and data integration patterns. * Exposure to visualization or application technologies such as Tableau, Power BI, JavaScript, or Angular is beneficial. * Experience working with Manufacturing Execution Systems (MES) or semiconductor/manufacturing datasets is a plus but not required. * Experience with Generative AI, RAG, AI agents, LLM-based applications, prompt engineering, or enterprise AI solutions is highly desirable. * Strong software engineering fundamentals, including writing maintainable, reusable, production-quality code and working with version-control practices. * Strong analytical and problem-solving skills with the ability to translate complex business/manufacturing problems into scalable data and AI solutions. * Strong verbal and written communication skills with the ability to communicate technical findings effectively to both technical and business stakeholders. * Publications at conferences such as CVPR, NeurIPS, ICML, or KDD are a plus; however, this is an applied Data Science position rather than a research role. Job Profile(s): Data Scientist 4 Relocation level: (TBD) Before Getting Started Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that: * Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence. * If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process. ​​​​ 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.
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Hyderabad, TS, IN

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