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Micron Technology

Makes memory and storage chips for AI and PCs

Data Scientist

Full-TimeUpdated on 10/15/2026
No salary listed
Mid
Bachelor's, Master's, PhD
Singapore
In Person
AI & Machine LearningApplied Machine Learning

About the job

Requirements
  • A bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related quantitative discipline is required.
  • Experience in statistical modeling, feature engineering, and supervised, unsupervised, and semi-supervised machine learning techniques is required.
  • Experience extracting and analyzing data using SQL and other query languages is required.
  • Experience applying data cleansing, outlier detection, and missing-data handling techniques is required.
  • Experience working with large and complex datasets is required.
  • Experience developing AI and agentic AI solutions is required.
  • Proficiency in Python and/or R programming is required.
  • Knowledge of machine learning and statistical modeling techniques is required.
  • SQL and database querying expertise is required.
  • Strong software development skills are required.
  • Strong analytical and critical-thinking skills are required.
  • Strong verbal and written communication skills are required.
  • Ability to collaborate effectively across cross-functional teams is required.
  • Ability to manage multiple priorities and work independently is required.
  • Strong learning agility and intellectual curiosity are required.
Responsibilities
  • Develop predictive models, machine-learning solutions, and advanced analytics applications using large-scale manufacturing datasets.
  • Perform exploratory data analysis to uncover patterns, trends, and actionable insights.
  • Extract, integrate, transform, cleanse, and validate data from multiple structured and unstructured data sources.
  • Develop and deploy AI and agentic AI solutions to improve manufacturing and business outcomes.
  • Design analytical approaches to solve complex business and manufacturing problems using statistical and machine-learning techniques.
  • Collaborate with Data Engineers, Manufacturing Engineers, UX teams, and business stakeholders to identify opportunities for data-driven improvements.
  • Translate analytical findings into actionable recommendations that drive operational efficiency and business value.
  • Support continuous-improvement initiatives through data analysis, automation, and process optimization.
  • Evaluate and adopt emerging data science, AI, and analytics technologies where appropriate.
  • Communicate technical findings and recommendations to technical and non-technical stakeholders.
  • Contribute to cross-functional projects involving manufacturing systems, data platforms, and analytics solutions.
  • Use AI-enabled tools and develop AI-driven solutions responsibly to improve efficiency, innovation, and business outcomes.
  • Maintain awareness of industry trends and advancements in machine learning, AI, and data science.
Desired Qualifications
  • Experience with PySpark, SparkR, or SparklyR.
  • Experience with Google Cloud Platform (GCP).
  • Experience with Snowflake or other enterprise SQL database platforms.
  • Experience with TensorFlow or similar machine-learning frameworks.
  • Experience with SSIS and ETL processes.
  • Experience with JavaScript, Angular, Tableau, and/or Power BI.
  • Experience working with time-series data, image analytics, semi-supervised learning, or datasets with frequently changing distributions.
  • Experience working with Manufacturing Execution Systems (MES).
  • Experience in semiconductor manufacturing environments.
  • Publications in conferences such as CVPR, NeurIPS, ICML, KDD, or similar.
  • A master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

About the company

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company Size

10,001+

Company Stage

IPO

Headquarters

Boise, Idaho

Founded

1978

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Simplify Jobs

Simplify's Take

What believers are saying

  • Demand is surging: in September 2026, Micron reported fiscal 2026 revenue of $133.19 billion, up from $37.38 billion.
  • Boise is hiring: in August 2026, Micron planned about 3,500 direct jobs at two Idaho fabs opening from 2027.
  • Sales are locked in early: by October 2026, most of Micron's 2027 HBM supply was contracted at higher prices.

What critics are saying

  • Revenue is concentrated: about half of Micron's sales came from its top ten customers in each of three years.
  • Departing engineers face scrutiny: in September 2026, Micron sued rival YMTC for hiring away at least 20 engineers.
  • Boise is feeling the strain: an August 2026 report found the $50 billion Idaho buildout straining local infrastructure.

What makes Micron Technology unique

  • AI memory is a three-player club: only Micron, SK hynix and Samsung make HBM, the stacked memory inside AI servers.
  • It owns its factories: Micron makes chips in Taiwan, Singapore, Japan, the U.S., Malaysia, China and India.
  • Data centers drive the business: its two data center units made $34.28 billion of quarterly revenue reported September 2026.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Parental Leave

Unlimited Paid Time Off

Paid Holidays

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

7%

1 year growth

7%

2 year growth

7%
Yahoo Finance
Oct 14th, 2026
Micron's revenue jumps 256% and gross margin hits 80.7%, but is it still a cyclical chip maker?

Micron Technology's results over the last twelve months look little like those of its past 14 years, according to its fiscal Q4 2026 report, released September 30, 2026. Revenue rose 256.3%, against a typical 14.1% growth rate. Gross margin reached 80.7%, up from a historical 32.0%. Debt now equals 2.6% of total assets, versus a typical 21.0%. Free cash flow hit $59.0 billion, and Micron held $38.3 billion more in cash than debt at the end of the quarter. Management says memory demand outruns supply, driven partly by AI workloads. It expects the market to stay tight through 2028 but cannot say when supply and demand will balance. Micron stock returned 425% in the twelve months to October 13, 2026, against 21% for the S&P 500.

Yahoo Finance
Oct 14th, 2026
Micron falls 3.2% despite Musk praise as $922 shares trade 18% above GF Value

Micron Technology shares fell 3.22% to $922.53 at 12:20 EST on October 14, despite praise from Elon Musk. He backed the memory chipmaker's future pricing in an October 13 post on X. The endorsement supports the case for customer loyalty but adds no new revenue forecast. Micron reported fiscal fourth-quarter revenue of $54.229 billion on September 30, with operating margins of 76% in Cloud Memory and 85% in Core Data Center. It guided next-quarter revenue to $61.5 billion, plus or minus $1.5 billion. The midpoint implies roughly 13.4% sequential growth. The shares trade 18.26% above GuruFocus's GF Value estimate of $780.09. Investors now want proof that pricing restraint protects both demand and margins.

Yahoo Finance
Oct 14th, 2026
Musk praises Micron's "reasonable" memory pricing as it lifts buyback to $35.16B

Elon Musk praised Micron in an X post, saying the chipmaker has been "reasonable regarding future memory prices, while others have been extortionate." He said that approach is "the smart move for long-term customer loyalty." Micron's latest quarter was strong. Sales rose about $43 billion from a year earlier and more than $13 billion from the previous quarter, with operating margins above 80% in some segments. Executives expect tight capacity and higher prices until 2028. Micron also raised its stock repurchase authorization to $35.16 billion, and can start buying back shares on December 9 once CHIPS Act restrictions lift.

Yahoo Finance
Oct 14th, 2026
Micron has no 10% customer as revenue jumps 256% to $133B, but data centre risk remains

Micron Technology filed its annual report on October 9, showing no single customer accounted for 10% or more of revenue in fiscal 2026. A year earlier, one customer made up 17% of sales, worth about $6.4 billion. Revenue rose 256% to about $133 billion, and net income grew nearly tenfold to about $85 billion. Higher prices drove most of the growth: DRAM average selling prices climbed around 180%, while shipped volume rose in the mid-20s percent. Concentration remains, however. Micron's top 10 customers supplied over half of revenue, and data centers made up around 60%, up from about half in fiscal 2025. The stock trades at roughly $936, about 14% below its October 7 close.

Yahoo Finance
Oct 14th, 2026
Nvidia, Ionic Digital and Micron lead three high-growth AI stocks, with Nvidia valued at $5.46T

Simply Wall St has named NVIDIA, Ionic Digital, and Micron Technology as three healthy, high-growth stocks to watch. The screen favours firms with strong balance sheets and expected earnings growth as investors focus on transparency and compliance. NVIDIA earns about $275.4 billion from Compute & Networking and $27.5 billion from Graphics. Its market value is about $5,464.9 billion, and its AI infrastructure business could face competition from AMD, Intel, or a Chinese firm. Ionic Digital earns about $69 million from crypto mining and has a market value of about $3.4 billion. Converting 323MW at Ward County to a 10-year lease would bring contracted rent of about $183 million a year. Micron's Cloud Memory and Core Data Center units bring in about $43.1 billion and $37.6 billion. Its market value is about $1,078.5 billion.