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

Micron Technology

Sr Data Scientist

Boise, ID · On-site

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 ...

Micron

Sr Data Scientist

Boise, ID

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 ...

Simplot

AI Engineer, Data Science Team- Boise, ID

Boise, ID

$109K - $130K/yr

Collaborate with data scientists, data engineers, product owners, business stakeholders, and vendors to translate business needs into scalable, secure, and maintainable AI solutions * Evaluate, test ...

Simplot

AI Engineer, Data Science Team- Boise, ID

Boise, ID · On-site

$109K - $130K/yr

Collaborate with data scientists, data engineers, product owners, business stakeholders, and vendors to translate business needs into scalable, secure, and maintainable AI solutions * Evaluate, test ...

Simplot

Sr. Data Scientist

Boise, ID

Speaks with authority to most layers of depth related to data science methods. * Experience in scripting and / or programming language, especially Python. * Good verbal and written communication ...

Simplot Company

Sr. Data Scientist

Boise, ID

Speaks with authority to most layers of depth related to data science methods.Experience in scripting and / or programming language, especially Python.Good verbal and written communication skills.

Simplot

Sr. Data Scientist

Boise, ID · On-site

Speaks with authority to most layers of depth related to data science methods. * Experience in scripting and / or programming language, especially Python. * Good verbal and written communication ...

J.R. Simplot Company

Sr. Data Scientist

Boise, ID

Speaks with authority to most layers of depth related to data science methods. * Experience in scripting and / or programming language, especially Python. * Good verbal and written communication ...

Simplot

Sr. Data Scientist

Boise, ID · On-site

Speaks with authority to most layers of depth related to data science methods. * Experience in scripting and / or programming language, especially Python. * Good verbal and written communication ...

J.R. Simplot Company

Data Engineer III

Boise, ID

$109K - $130K/yr

The Data Science team has delivered innovations recognized across the company and is poised to deliver more. Key Responsibilities * Participates as a member of a data engineering team; mentors and ...

Simplot

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

The Data Science team has delivered innovations recognized across the company and is poised to deliver more. Key Responsibilities * Participates as a member of a data engineering team; mentors and ...

Simplot

Data Engineer III

Boise, ID

$109K - $130K/yr

The Data Science team has delivered innovations recognized across the company and is poised to deliver more. Key Responsibilities * Participates as a member of a data engineering team; mentors and ...

Simplot Company

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

The Data Science team has delivered innovations recognized across the company and is poised to deliver more.Key ResponsibilitiesParticipates as a member of a data engineering team; mentors and guides ...

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Data Science Engineer information

See Boise, ID salary details

$42K

$122.3K

$167.4K

How much do data science engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data science engineer in Boise, ID is $122,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $129,700.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are popular job titles related to Data Science Engineer jobs in Boise, ID? For Data Science Engineer jobs in Boise, ID, the most frequently searched job titles are:
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Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Boise, ID as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,324 per year, or $58.8 per hour.
Sr Data Scientist

Sr Data Scientist

Micron Technology

Boise, ID • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago

Micron Technology rating

8.8

Company rating: 8.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 155 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 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 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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