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Weekend Data Science Jobs in Idaho (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 Corporation

Data Scientist 3

Boise, ID · On-site

$100 - $125/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 ...

Simplot

AI Engineer, Data Science Team- Boise, ID

Boise, ID

$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 ...

Simplot

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 ...

Hoffman Construction Company

Data Analyst

Boise, ID · On-site

$80 - $100/hr

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 ...

Hoffman Construction

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

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 ...

Hoffman Equipment Yard

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

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 ...

Hoffman-Construction

Data Analyst

Boise, ID · On-site

$80 - $100/hr

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 ...

Hoffman Construction

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

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 ...

Micron Technology

SR DATA SCIENTIST, SMAI OI

Boise, ID · On-site

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 ...

Micron

SR DATA SCIENTIST, SMAI OI

Boise, ID · On-site

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

Simplot Company

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

A. or B.S.) from 4 year college or university in Computer Science, Information Technology, Engineering, or related field.Relevant Experience5+ years data engineering experience and/or ...

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Weekend Data Science information

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Idaho?

The most popular types of Data Science jobs in Idaho are:

What are popular job titles related to Weekend Data Science jobs in Idaho?

For Weekend Data Science jobs in Idaho, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Idaho look for?

The top searched job categories for Weekend Data Science jobs in Idaho are:

Weekend Data Science jobs near you

Data Scientist 3

Lam Research Corporation

Boise, ID • On-site

Full-time

Re-posted 15 days ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

137th of 499 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

Get the full story on Breakroom

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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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