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Data Analyst Computer Science Jobs in Idaho (NOW HIRING)

Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor ... S. degree or equivalent experiencein Data Science, Computer Science, Industrial Engineering or ...

... Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, or a related quantitative field, plus 5+ years of experience in data science, machine learning, or advanced analytics roles.

$90K - $180K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

... Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or ...

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ... Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and ...

Java Developer with Cloud

Boise, ID

$48.50 - $62.75/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills include a bachelors degree or masters degree in computer ...

Technical Architect - Data, Analytics & AI

Boise, ID · Hybrid

$60.75 - $78/hr

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Present analytical findings and model results to stakeholders in a clear and actionable manner. May telecommute. Employer will accept a Master's degree in Computer Science, Data Science, Statistics ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Sr Data Scientist, TPG

Boise, ID · On-site

$114K - $286K/yr

... analysis projects and improvement of existing tools. In this position, you will help develop ... A Bachelor's degree in Engineering, Mathematics, Computer Science, Data Science, Physics, or a ...

Digital Analyst Internships

Boise, ID

$93K - $110K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Digital Analyst Internships

Moscow, ID

$85K - $101K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

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Data Analyst Computer Science information

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What are popular job titles related to Data Analyst Computer Science jobs in Idaho? For Data Analyst Computer Science jobs in Idaho, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Idaho look for? The top searched job categories for Data Analyst Computer Science jobs in Idaho are:
Sr Data Scientist

Full-time

Medical, Dental, Vision, PTO

Posted 25 days ago


Micron Technology rating

8.7

Company rating: 8.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

11th of 139 rated electronics manufacturers


Job description

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.

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you'll help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be outstanding opportunities to perform exploratory and new solution development activities.

Responsibilities include, but are not limited to:

  • Data Analysis & Anomaly Detection: 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.

  • Model Development & Feature Engineering: 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.

  • Visualization: Build clear and informative visualizations to communicate findings and insights to stakeholders.

  • Collaboration: Work closely with engineers and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions

  • Continuous Improvement: Stay up to date with industry trends, research progress, and new technologies in data science and semiconductor manufacturing

Minimum Qualifications:

  • B.S./M.S. degree or equivalent experiencein 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 manufacturingto resolve terabytes and petabytes of data to solve memory wafer related problems, enjoy working in diverse environment.

Preferred Qualifications:

  • 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.

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 micron.com/careers/benefits.

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, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn about your right to work click here.

To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.


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