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

Data Analyst

Boise, ID ยท On-site

$65K - $100K/yr

Experience with Python programming and creating automations, especially within Power BI ... Bachelor's degree in Information Systems, Data Analytics, Data Science, Information Science ...

Data Analyst

Boise, ID ยท On-site

$65K - $100K/yr

Experience with Python programming and creating automations, especially within Power BI ... Bachelor's degree in Information Systems, Data Analytics, Data Science, Information Science ...

Data Analyst

Boise, ID ยท On-site

$65K - $100K/yr

Experience with Python programming and creating automations, especially within Power BI ... Bachelor's degree in Information Systems, Data Analytics, Data Science, Information Science ...

Senior RDA Engineer, APTD

Boise, ID ยท On-site

$99K - $136K/yr

Basic data science/data manipulation skills (scripting, coding, programming). * Strong understanding of physics, area chemistry, and semiconductor equipment concepts. Preferred Qualifications

The role is a leadership position directing a team of Data Engineers who collaborate across multiple teams within the Technology & Data Science department and with other business partners to build ...

The role is a leadership position directing a team of Data Engineers who collaborate across multiple teams within the Technology & Data Science department and with other business partners to build ...

The role is a leadership position directing a team of Data Engineers who collaborate across multiple teams within the Technology & Data Science department and with other business partners to build ...

The role is a leadership position directing a team of Data Engineers who collaborate across multiple teams within the Technology & Data Science department and with other business partners to build ...

Artificial (AI) Engineer

Boise, ID ยท On-site

$99K - $118K/yr

Job Summary : VELOX Media is hiring an AI Developer to help design and implement intelligent ... Science, Data Science, or a related field โ€ข 3+ years of experience in applied AI/ML roles โ€ข ...

Senior RDA Engineer, APTD

Boise, ID ยท On-site

$99K - $136K/yr

Basic data science/data manipulation skills (scripting, coding, programming) * Strong understanding of physics, area chemistry, and semiconductor equipment concepts * Ability to use AI-enabled tools ...

Senior RDA Engineer, APTD

Boise, ID

$99K - $136K/yr

Basic data science/data manipulation skills (scripting, coding, programming) * Strong understanding of physics, area chemistry, and semiconductor equipment concepts * Ability to use AI-enabled tools ...

AI Engineer

Boise, ID ยท On-site

A Master's degree or equivalent experience in Engineering, Data Science, Business Management, Information Systems, or a related area. * 3+ years of experience across product management/ownership ...

Master's/Bachelor's degree in Industrial Engineering, Operations Research, Computer Science, Data Science or other quantitative disciplines with strong emphasis on optimization, simulation, and ...

Showing results 41-60

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 12, 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.

Data Analyst

Boise, ID โ€ข On-site

$65K - $100K/yr

Other

Posted 13 days ago


Job description

Position Summary: Hoffman Construction is looking for a motivated and growth-oriented Data Analyst to join our expanding Data team. In this role, you will play a key part in enabling data-driven decisions by gathering, analyzing, and translating complex data from multiple sources into clear, actionable insights that support project outcomes. You will work closely with project teams to develop meaningful reports and visualizations, while ensuring data accuracy and integrity through effective collection and cleansing practices.

The ideal candidate is comfortable creating reports and dashboards using Power BI, Smartsheet, and Excel, and using sanctioned AI tools to facilitate DAX coding. This candidate will have strong data skills and be comfortable automating workflows. Reporting to the Data Manager, this position requires strong organizational and communication skills, exceptional attention to detail, and the ability to manage priorities and meet deadlines in a fast-paced, collaborative environment.

This is an in-person position at the main office or on the project jobsite.

Compensation Range: $65,000 - $100,000 DOE + Incentives

Essential Responsibilities:

  • Collaborate with project team members to align analytic and reporting needs with project priorities, leveraging data from multiple platforms.
  • Participate in the creation and continuous enhancement of reports and dashboards using Power BI, Smartsheet, Excel, or other data reporting tools.
  • Participate in the creation and continuous enhancement of data analytics tools to promote predictability and operational efficiencies for project teams and corporate entities.
  • Participate in the creation of semantic models for use in reporting and AI work.
  • Aggregate and analyze data from diverse sources, ensuring comprehensive insights and synthesis by employing innovative data visualization techniques.
  • Detect inconsistencies and incorrect data, determine root cause, and rectify issues.
  • Oversee the creation and delivery of weekly and monthly reports to internal and external stakeholders, including executives and client representatives.
  • Serve as the subject matter expert on data, reporting, and analytics tools, keeping abreast of technological advancements and industry trends.
  • Educate and guide cross-functional teams on leveraging analytics and reporting tools effectively, aligning with project goals.
  • Foster collaboration across departments to develop data products and tools, defining success metrics and delivering presentations that drive actionable insights and support strategic decision-making.
  • Determine ways to automate data collection and reporting processes to ensure accurate and timely data updates.

Qualifications:

Position Related Skills

  • Proficient using Power BI, Excel, Smartsheet, and other data analytic tools, with an aptitude for learning new tools.
  • Proficient in data analysis skills such as data cleansing and preparation, data visualization, mathematical and statistical calculation, dashboarding and reporting.
  • Proficient with data (semantic) modeling techniques required.
  • Proficient in both DAX and Smartsheet programming languages.
  • Practical experience in statistical analysis using statistical packages, including Excel, Power BI, R, or Python.
  • Experience with Python programming and creating automations, especially within Power BI.
  • Knowledge of and experience with Generative A.I. tools such as ChatGPT, Claude, MS Copilot, or similar.
  • Ability to digest disparate data sources and decipher how they can be best used to create operational efficiencies and support data-driven decisions.
  • Ability to communicate complex information to a range of data-literate audiences.
  • Ability to solve problems independently and cooperatively with other team members.
  • Proficient technical writing experience in relevant areas, including queries, reports, and presentations.
  • Knowledge of Microsoft Fabric and the medallion structure of data flows is beneficial.
  • Knowledge of basic software development practices such as Development, Testing, and Production environments is beneficial.
  • Knowledge of data security concepts and processes is beneficial.
  • Previous experience in the construction industry is beneficial.
  • Familiarity with construction management software, such as Procore, is beneficial.

Professional Experience and Education

  • Bachelor's degree in Information Systems, Data Analytics, Data Science, Information Science/Management, or a related field of study, or equivalent work experience required.
  • Five (5) + years of professional data analysis and BI reporting experience, including statistical analysis and data science (ML) preferred.

Competencies:

Action-oriented

  • Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
    • Readily takes action on challenges
    • Identifies and seizes new opportunities
    • Displays a can-do attitude in good and bad times
    • Steps up to handle tough issues

Manages ambiguity

  • Operating effectively, even when things are not certain or the way forward is not clear
    • Deals comfortably with the uncertainty of change
    • Effectively handles risk
    • Can decide and act without the total picture
    • Is calm and productive, even when things are ambiguous
    • Deals constructively with problems that do not have a clear solution

Collaborates

  • Building partnerships and working collaboratively with others to meet shared objectives
    • Works cooperatively with others across the organization to achieve shared objectives
    • Represents own interests while being fair to others and their areas
    • Partners with others to get work done

Communicates effectively

  • Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
    • Is effective in a variety of communication settings: one-on-one, small and large groups, or among diverse styles and position levels
    • Attentively listens to others
    • Adjusts to fit the audience and the message
    • Provides timely and helpful information to others across the organization
    • Encourages the open expression of diverse ideas and opinions

Manages complexity

  • Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
    • Asks the right questions to accurately analyze situations
    • Acquires data from multiple and diverse sources when solving problems
    • Uncovers root causes to difficult problems

Physical and Mental Requirements:

  • Standing/Walking/Sitting: Workday is a combination of sitting/walking and standing.
  • Legs: Must be able to climb stairs - 5% of the day.
  • Hands/Arms: Constant use of hands/fingers for mouse/keyboard/computer use.
  • Vision: Visual acuity in near, mid, and far-range vision. Color vision, peripheral vision, depth perception, hand/eye coordination.
  • Hearing: Sufficient to hear conversational levels in person and over the telephone andradio; sufficient to hear alarms on equipment.
  • Speech: Sufficient to make oneself heard in person, speak in front of groups, and be understood over the telephone and radio.
  • Lift/Carry: Up to 50lb computer/drawings- minimal.
  • Bending/Twisting: Minimal.
  • Kneeling/Crouching/Crawling: Minimal.
  • Constant mental alertness, accuracy, and attention to detail required.
  • Must be able to work independently, make decisions, and follow through on all assignments.
  • Must use creativity, independent judgment, and organizational and problem-solving skills to determine the best method to accomplish desired results.
  • Must be able to plan and organize work.
  • Must possess strong organizational and computer use skills and have an elevated level of competency to read/write/speak English, interpret construction related documentation and communicate with coworkers.
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