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Data Science Phd Jobs in Boise, ID (NOW HIRING)

As a Data Science Engineer, you will employ various techniques to analyze semiconductor ... Preferred : • PhD or equivalent experience in related subject areas are preferred • Experience ...

Sr Data Scientist

Boise, ID · On-site

$100 - $130/hr

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from ... PhD or equivalent experience in related subject areas. * Experience working in Google Cloud ...

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of ... PhD or equivalent experience in related subject areas are preferred * Experience working in Google ...

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of ... PhD or equivalent experience in related subject areas are preferred * Experience working in Google ...

Data Scientist III

Boise, ID · On-site

$110 - $165/hr

Participate as a member of a data science team. May provide technical leadership for small project ... Masters or Doctorate (PhD) preferred * Candidates with strong statistical programming and academic ...

Key ResponsibilitiesParticipate as a member of a data science team.May provide technical leadership ... Typical EducationBachelors requiredMasters or Doctorate (PhD) preferredCandidates with strong ...

Participate as a member of a data science team. May provide technical leadership for small project ... Masters or Doctorate (PhD) preferred * Candidates with strong statistical programming and academic ...

Participate as a member of a data science team. May provide technical leadership for small project ... Masters or Doctorate (PhD) preferred * Candidates with strong statistical programming and academic ...

Participate as a member of a data science team. May provide technical leadership for small project ... Masters or Doctorate (PhD) preferred * Candidates with strong statistical programming and academic ...

... Data Science/Analytics teams Provide structured feedback to Lam EI Dev and Product teams on ... or a PhD without experience; or equivalent work experience Our commitment We believe it is ...

Data Scientist 3

Boise, ID · On-site

$120 - $160/hr

Maintain active engagement with customer's IT and Data Science/Analytics teams * Provide structured ... or a PhD without experience; or equivalent work experience. Our commitment We believe it is ...

Data Scientist 3

Boise, ID · On-site

$100 - $130/hr

Maintain active engagement with customer's IT and Data Science/Analytics teams * Provide structured ... or a PhD without experience; or equivalent work experience. Our commitment We believe it is ...

Maintain active engagement with customer's IT and Data Science/Analytics teams * Provide structured ... or a PhD without experience; or equivalent work experience. Our commitment We believe it is ...

RAM RDA Process Engineer

Boise, ID · On-site

$110 - $140/hr

Master's degree or PhD in Electrical Engineering, Chemical Engineering, Materials Science and Engineering, or a related field * Experience with data analysis, scripting, programming, or other data ...

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Data Science Phd information

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.

What are the key skills and qualifications needed to thrive as a data science PhD?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What can I do with a data science PhD?

A data science PhD prepares individuals for advanced roles in research, analytics, and machine learning across industries such as technology, finance, healthcare, and academia. Graduates can work as data scientists, machine learning engineers, research scientists, or data analysts, often utilizing programming languages like Python or R and tools such as TensorFlow or SQL. The degree also enables roles involving complex data modeling, statistical analysis, and developing innovative data-driven solutions.

What are popular job titles related to Data Science Phd jobs in Boise, ID?

For Data Science Phd jobs in Boise, ID, the most frequently searched job titles are:

Infographic showing various Data Science Phd job openings in Boise, ID as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers


Job description

Job Summary:
Micron Technology is a world leader in innovating memory and storage solutions. As a Data Science Engineer, you will employ various techniques to analyze semiconductor manufacturing data, develop predictive models, and collaborate with engineers to improve processes and product quality.
Responsibilities:
• Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield.
• Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions.
• Build clear and informative visualizations to communicate findings and insights to stakeholders.
• Work closely with engineers and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions
• Stay up to date with industry trends, research progress, and new technologies in data science and semiconductor manufacturing.
Qualifications:
Required:
• B.S./M.S. degree or equivalent experience in Data Science, Computer Science, Industrial Engineering or other engineering field.
• 3+ years working within data science in engineering or related industry with in-depth knowledge in statistical modeling, machine learning, deep learning. Strong skills in python and at least familiar with 1 machine learning framework (like pyTorch, sklearn etc.).
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong skills to quickly build prototype solutions based on business requirements, experience deploying data science solution into production environments.
• Effective communication skills for explaining models, assumptions, and results to non-technical partners, able to work independently with internal and external partners to drive ideas to resolution.
• Proactive problem-solving approach and ownership outlook.
• Passion and interest to learn semiconductor manufacturing to resolve terabytes and petabytes of data to solve memory wafer related problems, enjoy working in diverse environment.
Preferred:
• PhD or equivalent experience in related subject areas are preferred
• Experience working in Google cloud platform or other big data platform
• Experience with Generative AI solutions including RAG, LLM tuning, and agentic problem solving. Solid experience with RCA (root cause analysis) related algorithms and modeling in solving complex industry problems are preferred.
• Good full stack skills to build end-to-end data science application with scalability and robustness
• Experience working with Manufacturing Execution Systems (MES), or good knowledge in wafer process and yield analysis
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position.
Company:
Micron Technology is a semiconductor company that produces DRAM, SDRAM, flash memory, SSD and CMOS image sensing chips. Founded in 1978, the company is headquartered in Boise, USA, with a team of 10001+ employees. The company is currently Late Stage.

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