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

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from mathematics, statistics, semiconductor physics, materials science, and information technology to uncover ...

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 ...

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 ...

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 ...

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 ...

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.

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 ...

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 ...

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Data Science Engineer information

See Boise, ID salary details

$42.4K

$123.5K

$168.9K

How much do data science engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data science engineer in Boise, ID is $123,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,900.00 per year, depending on experience, location, and employer.

What is a data science engineer?

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 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 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 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 implement scalable data solutions.

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:

What job categories do people searching Data Science Engineer jobs in Boise, ID look for?

The top searched job categories for Data Science Engineer jobs in Boise, ID are:

Infographic showing various Data Science Engineer job openings in Boise, ID as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $123,462 per year, or $59.4 per hour.

Sr Data Scientist

Boise, ID • On-site

Micron Technology
Semiconductor and Electronic Component Manufacturing • 10K+ employees

Other

Medical, Dental, Vision, PTO

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


Job description

Req ID: JR98989 Sr Data Scientist (Evergreen)

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. Our vision is to transform how the world uses information to enrich life for all.

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from 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, with outstanding opportunities to perform exploratory and new solution development activities.

Responsibilities
  • 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 (regression, classification, clustering) to optimize manufacturing processes and improve product quality. Extract relevant features from raw data, considering 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 one machine learning framework (e.g., PyTorch, scikit‑learn).
  • Ability to extract data from different databases via SQL and other query languages and apply 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.
  • 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.
  • Good full‑stack skills to build end‑to‑end data science applications 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.
Benefits

Micron offers a choice of medical, dental and vision plans enabling team members to select plans that best meet their family healthcare needs and budget. Benefits include income protection programs, paid family leave, robust paid time‑off program and paid holidays. For additional information regarding available benefit programs, please see the Benefits Guide posted on the Micron website.

Equal Opportunity Employment

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.

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