ZipRecruiter

Log In

1

Data Science Jobs in Boise, ID (NOW HIRING)

Simplot

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

S.) from 4 year college or university in Computer Science, Information Technology, Engineering, or related field. Relevant Experience * 5+ years data engineering experience and/or training * Advanced ...

micro1 AI

AI Training Specialist - Life Sciences

Boise, ID · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

micro1 AI

AI Training Specialist - Life Sciences

Nampa, ID · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Micron Technology

Staff Machine Learning Engineer

Boise, ID · On-site

$120 - $150/hr

Do you dream in data science and machine learning models? If so, we want you to join us! Our mission is to enable to deliver industry-winning machine learning solutions to power Micron's dominance in ...

Micron

Staff Machine Learning Engineer

Boise, ID · On-site

Do you dream in data science and machine learning models? If so, we want you to join us! Our mission is to enabletodeliver industry-winning machine learning solutions to power Micron's dominance in ...

Micron

Principal Machine Learning Engineer

Boise, ID · On-site

Do you dream in data science and machine learning models? If so, we want you to join us! Our mission is to enabletodeliver industry-winning machine learning solutions to power Micron's dominance in ...

previous page

Showing results 41-60

All JobsData Science JobsData Science Jobs in Boise, ID

Data Science information

See Boise, ID salary details

$35.7K

$116.8K

$187K

How much do data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science in Boise, ID is $116,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,800.00 and $129,400.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Boise, ID?

The most popular types of Data Science jobs in Boise, ID are:

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

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

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

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

What cities near Boise, ID are hiring for Data Science jobs?

Cities near Boise, ID with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Boise, ID as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,820 per year, or $56.2 per hour.

Data Engineer III

Simplot

Boise, ID • On-site

$109K - $130K/yr

Full-time

Re-posted 27 days ago

J.R. Simplot rating

7.1

Company rating: 7.1 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

216th of 439 rated food and drinks producers

Job description

Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide.
Summary
This role applies intermediate to advanced data engineering principles, theories, and concepts to solve a range of data and platform challenges of varying complexity. The Data Engineer III utilizes modern cloud data tools, distributed processing frameworks, and professional knowledge acquired through specialized training, education, and experience. The role exercises professional judgment-from limited to independent decision-making-within defined standards and practices to determine and execute appropriate technical actions.
The position develops practical expertise across data engineering domains including SQL-based transformation and modeling, cloud-native data platforms, and large-scale data processing using PySpark. The engineer acts as a collaborative and informed team member by providing technical analysis and recommendations in support of team and business outcomes, evaluating data engineering challenges and contributing to solution development through well-reasoned technical guidance.
Why This Role is Exciting
  • Work with Leading Tools: Build and support scalable cloud data solutions using Databricks, PySpark, SQL, and Azure-based services.
  • Expand Your Expertise: Grow skills in distributed data processing, data modeling, automation, and CI/CD within a modern lakehouse architecture.
  • Join an Innovative Team: Be part of a data engineering team with a strong history of delivering robust, reliable, and scalable data solutions that support enterprise analytics and decision-making.

Key Responsibilities
  • Participates as a member of a data engineering team responsible for cloud data platforms and pipelines
  • Mentors and guides other engineers
  • Conducts thorough analysis of technical and data requirements ranging from moderate to advanced complexity to support solution design and implementation
  • Designs, builds, and maintains data pipelines and transformations using SQL, Python, and PySpark
  • Designs, prepares and executes manual and/or automated test plans and scripts
  • Leverages advanced data engineering expertise to perform routine and complex maintenance, optimization, and production support, ensuring reliability, scalability, and performance
  • Collaborates effectively with business, analytics, and technical teams, leveraging strong interpersonal skills to drive alignment and trust in data solutions
  • Demonstrates technical leadership and exerts influence beyond immediate team
  • Design, implement, and manage CI/CD pipelines for automated software delivery
  • Build and maintain infrastructure as code (IaC) solutions using tools like Terraform
  • Support the release process by working closely with engineering teams to improve deployment speed and reliability
  • Maintain documentation on new and existing implementations and practices
  • Present and train the data engineering organization on innovations, best practices, and implementations

Typical Education
Bachelor's degree (B.A. or B.S.) from 4 year college or university in Computer Science, Information Technology, Engineering, or related field.
Relevant Experience
  • 5+ years data engineering experience and/or training
  • Advanced understanding of data engineering concepts with the ability to address complex data and platform challenges
  • Strong proficiency in SQL for data transformation, optimization, and modeling
  • Proficient in one or more programming languages such as Python or .NET
  • Proficient in data application development using frameworks like Shiny, Streamlit, Gradle, and FastAPI
  • Experience with Azure DevOps, Databricks, SQL, and Data Modeling
  • Experience with infrastructure as code (IaC) tools (Terraform, Ansible, CloudFormation)
  • Advanced understanding of version control systems (Git, SVN)
  • Strong verbal and written communication skills, contributing to team design activities and documentation
  • Can apply critical thinking skills to solving problems and a strong technical aptitude
  • Experience delivering data solutions through agile software development methodologies

Preferred (Nice to Have) Qualifications
  • Hands-on experience with PySpark and Databricks for building and operating scalable data solutions
  • Proficiency in Python for data engineering workflows and automation
  • Experience working in Azure-based data platforms such as Databricks, Azure Data Lake, and Azure DevOps
  • Experience delivering data solutions using Agile software development methodologies
  • Experience supporting or enabling analytics, BI, or data science workloads

Other Information
This role reports to office at Simplot Headquarters in Boise, ID full-time.
Job Requisition ID: 26003
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
**The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. **
#LI-MH1

What J.R. Simplot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Simplot logo

About Simplot

Sourced by ZipRecruiter

The J.R. Simplot Company is a diverse, privately held organization, with roots firmly planted in agriculture and agriculture-related businesses. The J.R. Simplot Company is a true farm-to-table company with operations that touch every aspect of agriculture, including seed production, farming and ranching, plant sciences, fertilizer manufacturing, food processing, commercial product development, and distribution.

Industry

Agriculture

Company size

10,000+ Employees

Headquarters location

Boise, ID, US

Social media

Facebook

View All Simplot Jobs

Apply