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Data Science And Analytics Jobs in Idaho (NOW HIRING)

... analytics and AI.Key ResponsibilitiesParticipate as a member of a data science team.May provide technical leadership for small project teams depending on experience and project needs.Apply technical ...

Demonstrates an in-depth understanding of key analytical/machine learning/artificial intelligence techniques. * Speaks with authority to most layers of depth related to data science methods.

Demonstrates an in-depth understanding of key analytical/machine learning/artificial intelligence techniques. * Speaks with authority to most layers of depth related to data science methods.

Expert in statistical techniques for data analysis using R * Expert in creating predictive model ... Data Scientist Location: Boise, Idaho Duration: 3 years on a part time basis (25% utilization ...

Work closely with data engineers, data scientists, and the Enterprise Data and Department Data analysts to ensure data quality processes are comprehensive in design and coverage. * Conduct research ...

Showing results 21-40

Data Science And Analytics information

See Idaho salary details

$35.3K

$115.5K

$184.9K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics in Idaho is $115,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $128,000.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

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

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities in Idaho are hiring for Data Science And Analytics jobs?

Cities in Idaho with the most Data Science And Analytics job openings:

Infographic showing various Data Science And Analytics job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,484 per year, or $55.5 per hour.

Sr. Data Scientist

Simplot Company

Boise, ID • On-site

Full-time

Re-posted 15 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

214th of 443 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.SummaryAs a Data Scientist with Simplot, you will leverage your expertise in statistics, machine learning and AI to develop solutions that solve complex business and operational problems. You will contribute to diverse and challenging projects, derive and communicate meaningful insights to business partners, and develop and deploy automated solutions to create business value across a variety of domains.In this role, you will have the opportunity to collaborate with other highly skilled data scientists, mentor junior team members, play a creative role on project teams, participate in high priority cross-functional initiatives, and grow and develop your own skillset through your work. Your curiosity, expertise and integrity will be instrumental in representing our team in engagements with our partners and stakeholders across the company, and in advancing Simplot's utilization and development of industry-leading innovations in advanced analytics and AI.Key ResponsibilitiesParticipate as a member of a data science team.May provide technical leadership for small project teams depending on experience and project needs.Apply technical knowledge to interpret business questions and requirements.Independently resolve highly complex technical issues within a given technical area.Partner with members of a given team or other IT teams as appropriate.Identify potential design, implementation or solution support risks and proactively alert management and technical leads.Proactively search for solutions to relevant business problems in anticipation of future need.Typical EducationBachelors requiredMasters or Doctorate (PhD) preferredCandidates with strong statistical programming and academic/scientific research backgrounds are encouraged to applyRelevant Experience5+ years industry related experience and/or trainingDemonstrates an in-depth understanding of key analytical/machine learning/artificial intelligence techniques.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.Experience designing and implementing analytics applications.Exhibits a high level of initiative and integrity. Possess creative ability, consulting skills, leadership qualities, credibility and self-confidence.Demonstrated experience and comfort with in-person collaboration as well as an understanding of how to work effectively in engagements with remote team members and geographically dispersed teams.Ability to translate business needs into technical requirements and solutions.Required CertificationsOther InformationJob Requisition ID:25518Travel Required:Location(s):Simplot Headquarters - BoiseCountry: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. **

What J.R. Simplot employees say

Pay

Benefits

Hours and flexibility

Workplace

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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

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