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Data Science And Analytics Jobs in Meridian, ID (NOW HIRING)

Lam Research Corporation

Data Scientist 3

Boise, ID · On-site

Maintain active engagement with customer's IT and Data Science/Analytics teams * Provide structured feedback to Lam EI Dev and Product teams on: * Feature gaps * Operational pain points * Scalability ...

Lam Research Salzburg GmbH

Data Scientist 3

Boise, ID · On-site

$120 - $160/hr

Maintain active engagement with customer's IT and Data Science/Analytics teams * Provide structured feedback to Lam EI Dev and Product teams on: * Feature gaps * Operational pain points * Scalability ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

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 ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

$100 - $130/hr

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 ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

As a Data Science Engineer, you will employ various techniques to analyze semiconductor manufacturing data, develop predictive models, and collaborate with engineers to improve processes and product ...

Micron

Sr Data Scientist

Boise, ID

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 ...

Simplot Company

Data Scientist III

Boise, ID · On-site

$110 - $165/hr

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.

J.R. Simplot Company

Sr. Data Scientist

Boise, ID

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.

Simplot Company

Sr. Data Scientist

Boise, ID · On-site

... 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 ...

Simplot

Sr. Data Scientist

Boise, ID

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.

Simplot

Sr. Data Scientist

Boise, ID · On-site

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.

Computech Corporation

Data Scientist

Boise, ID

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 ...

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Data Science And Analytics information

See Meridian, ID salary details

$36.4K

$119K

$190.5K

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 Meridian, ID is $118,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $131,800.00 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 near Meridian, ID are hiring for Data Science And Analytics jobs?

Cities near Meridian, ID with the most Data Science And Analytics job openings:

Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in Meridian, ID as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $118,986 per year, or $57.2 per hour.

Data Scientist 3

Lam Research Corporation

Boise, ID • On-site

Full-time

Re-posted 29 days ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

130th of 494 rated machine equipment manufacturers

Job description

The group you'll be a part of
The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes.
The impact you'll make
Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.
What you'll do
"EI Specialist" position
EI Application Technical Support (EIDH-Resident Apps)
  • Provide (Advanced / As Needed) EI Analytics & Continuous Improvement (CIP) Support utilizing:
    • IBP Apps (AutoTRD, MATH, ARC, PPD, SRC)
    • EI-DA2.x / EI-DAe
    • EI Discovery / Data Explorer
    • EI-Apps (EI-SSHC, EI-CV, EI-AA, AutoTRD, MATH, etc.)
    • All Additional Developed Applications (JupyterLab-Python)
  • Monitor, support, and maintain all EI applications deployed on EIDH clusters
  • Perform application health checks and first-level troubleshooting
  • Support EI application upgrades and validation
  • Coordinate issue resolution with EI Dev, Product, and Global Support teams
  • Validate application functionality after cluster or data pipeline changes

Reporting, Startup & Account Team Support
  • Support system startups (new clusters, tools, chambers)
  • Help define and track startup readiness metrics
  • Facilitate creation of reports required by Account Teams for:
    • New Lam Tool installations
    • Expansion phases
    • Customer reviews

Training, Enablement & Knowledge Sharing
  • LamAutoArchiver & LamArchiver Tool Software
  • All EI Applications
  • Chamber process fundamentals
  • Process control and data set structures
  • Maintain working knowledge across tool, chamber, and EI data domains
  • Act as local EI subject matter expert (SME)
  • Support internal training and knowledge sharing when needed

Stakeholder & Cross-Functional Engagement
  • Act as Lam EI voice to customers
  • Maintain active engagement with customer's IT and Data Science/Analytics teams
  • Provide structured feedback to Lam EI Dev and Product teams on:
    • Feature gaps
    • Operational pain points
    • Scalability concerns
  • Contribute to broader Lam EI strategy discussions when requested

Who we're looking for
  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What Lam Research employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

Social media

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