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Weekend Data Science Jobs in Idaho (NOW HIRING)

Employer will accept a Master's degree in Computer Science, Data Science, Statistics, Operations Research, Information Systems or related field and 2 years of experience in the job offered or related ...

Employer will accept a Master's degree in Computer Science, Data Science, Statistics, Operations Research, Information Systems or related field and 2 years of experience in the job offered or related ...

Data Scientist Location: Boise, Idaho Duration: 3 years on a part time basis (25% utilization) Required Skil ls * Should have worked in healthcare industry either at a provider, payer or HIE * Expert ...

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 ...

Relevant disciplines may include social science, data science, statistics, computer science, information systems, mathematics, business analytics, or related field. Required Qualifications:

Data Analyst

Lewiston, ID · On-site

$49K - $60K/yr

Relevant disciplines may include social science, data science, statistics, computer science, information systems, mathematics, business analytics, or related field. Required Qualifications:

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 ...

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 ...

Data Engineer III

Boise, ID

$109K - $130K/yr

The Data Science team has delivered innovations recognized across the company and is poised to deliver more. Key Responsibilities * Participates as a member of a data engineering team; mentors and ...

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

The Data Science team has delivered innovations recognized across the company and is poised to deliver more. Key Responsibilities * Participates as a member of a data engineering team; mentors and ...

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

The Data Science team has delivered innovations recognized across the company and is poised to deliver more.Key ResponsibilitiesParticipates as a member of a data engineering team; mentors and guides ...

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

The Data Science team has delivered innovations recognized across the company and is poised to deliver more. Key Responsibilities * Participates as a member of a data engineering team; mentors and ...

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Weekend Data Science information

What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

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 is a Weekend Data Science job?

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 are some typical challenges faced by data scientists working specifically on weekends, 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.

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:
Business Data Scientist

Business Data Scientist

Idaho National Laboratory

Idaho Falls, ID • On-site

$95K - $234K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

12th of 105 rated laboratories


Job description


Essential Job Functions and Responsibilities: (Knowledge, skills, and behaviors required for this position.)
  • Apply advanced analytical technologies such as explainable AI/ML, large language models, physics-informed ML, systems performance modeling, and multi-sensor data fusion.
  • Collaborate with domain scientists, engineers, business analysts, data owners, and data stewards to define analytical questions, validate data, identify informative features, and interpret model outcomes.
  • Use high-performance computing architectures and cloud platforms for data extraction, processing, modeling, and storage across structured and unstructured datasets.
  • Develop, test, and operationalize machine learning and artificial intelligence solutions tailored to business and engineering applications.
  • Produce analytical results, visualizations, and decision-support materials across cloud, on-premises, and edge computing environments.
  • Contribute to and help lead the planning and execution of INL's enterprise advanced analytics roadmap.
  • Partner with cross-functional teams to develop and manage technical programs and deliverables for a variety of internal and external customers.
  • Develop and maintain analysis notebooks, software modules, scripts, and user-facing applications that support business and engineering workflows.
  • Work with software and database engineers to deploy robust, secure, and maintainable code to development, staging, and production environments.
  • Build custom analytical software such as 3D visualization utilities, parallel computing workflows, batch processing scripts, and API-driven integrations.
  • Assess data quality issues, communicate findings to data providers, and design repeatable, traceable preprocessing pipelines.
  • Employ state-of-the-art modeling, simulation, statistical inference, and uncertainty quantification methods to support INL's mission related to safety, reliability, resilience, and operational performance of engineered systems.
  • Follow INL policies and standards related to cybersecurity, software development practices, and management of sensitive information.
  • Serve as a subject matter expert in modern data science techniques including data mining, regression, ML/AI methods, natural language processing, and large-scale analytics.
  • Apply predictive, prescriptive, and probabilistic modeling methods to produce actionable insights and inform decision-making.

Education, Credentials, and Work Experience:
Required
  • Level 4:
    • Bachelor's degree + 9 years relevant experience
    • Master's degree + 6 years relevant experience
    • PhD + 4 years relevant experience
  • Level 5:
    • Bachelor's degree + 14 years relevant experience
    • Master's degree + 8 years relevant experience
    • PhD + 6 years relevant experience
  • Relevant Experience fields include Data Science, Computer Science, Mathematics, Statistics, or related disciplines
  • Proficiency with tools and languages such as Python, R, SQL, Spark, SAS, Tableau, Excel, Jupyter Notebooks, and Azure Notebooks.
  • Strong data visualization expertise and experience defining KPIs.
  • Demonstrated ability to collaborate across diverse scientific and technical teams and facilitate cohesive decision-making.
  • Ability to communicate technical concepts clearly to both business and technical audiences.
  • Experience mentoring or training staff in data analytics methods and workflows.
  • Ability to obtain and maintain a DOE Q clearance (U.S. Citizenship required).

The ideal candidate will possess:
  • Experience with cloud platforms and cloud-native analytics (AWS, Azure, GCP).
  • Experience with SciPy, PyTorch, TensorFlow, CUDA, notebook IDEs, NLP methods, graph databases, relational databases, and data storage architectures.
  • Experience with version control and repository management (e.g., Git).

Physical Requirements:
While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, keyboard and type, reach with hands and arms, and operate job-related equipment. The employee must occasionally lift and/or move up to 50 pounds without assistance. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Job Information:
Idaho National Laboratory is hiring a Program Manager to work on our Nuclear Nonproliferation Division and the "Material Minimization, Security and International Safeguards team. Our team works a 9x80 schedule located out of our Idaho Falls facility with every other Friday off.
  • Level 4: The pay range for this position is $95,256-$195,288 / Level 5: $114,360 - $234,336. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.

Working Conditions:
The work environment is an office environment which may include stairs. The noise level is generally moderate; however, may be exposed to loud noises on occasion. Position requires working more than 8 hours/day, irregular hours, and working alone.
The above statements are intended to describe the general nature and levels of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
Security and Privacy Language:
This position includes information security and privacy responsibilities as defined by NIST SP 800 53, OMB Circular A 130, and DOE Order 206.1A. Position must complete initial and annual role-specific training as required. The incumbent must sign and comply with all required access agreements prior to being granted access to organizational systems or data. Comply with all applicable information security and privacy policies and procedures by following established protocols, with an understanding that non-compliance may result in sanctions.
Level Definers
EX4 - Senior:
  • Knowledge: Technical leader with a high degree of knowledge in the overall field and recognized expertise in specific areas. Has wide-ranging experience. Uses professional concepts and company objectives to solve complex issues in creative and effective ways. Interfaces with and mentor junior staff.
  • Problem Solving: Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques, and evaluation criteria for obtaining results.
  • Discretion and Latitude: Work is performed without appreciable direction. Determines methods and procedures on new assignments and may coordinate activities of other personnel (Lead). Exercises considerable latitude in determining objectives of assignment.
  • Impacts: Guides the successful completion of major programs and may function in a project leadership role. Erroneous decisions or recommendations would typically result in failure to achieve organizational objectives.
  • Liaison: Represents organization as prime contact on projects or work. Interacts with senior internal personnel on significant matters often requiring coordination between organizations. Networks with key contacts outside own area or expertise.
  • Education/Experience: Bachelor's and 9 years. Master's and 6 years. PhD and 4 years.

EX5 - Expert (Barriers to entry such as Charters and committees exist at this level):
  • Knowledge: Recognized organization-wide expert. Has broad expertise or unique knowledge. Uses skills to contribute to development of company objectives and principles and to achieve goals in creative and effective ways. Interfaces with and mentor junior staff and some senior staff.
  • Problem Solving: Works on significant and unique issues and provides solutions which are highly innovative and ingenious and where analysis requires evaluation of intangibles.
  • Discretion and Latitude: Acts independently or works under consultative direction toward predetermined long-range goals and objectives. Assignments are often self-initiated. Determines and pursues courses of action necessary to obtain desired results. Work reviewed through consultation and/or agreement with others rather than by formal review of superior.
  • Impacts: Develops advanced ideas and guides their development. Erroneous decisions or recommendations would typically result in failure to achieve critical organizational objectives.
  • Liaison: May serve as organizational spokesperson on advanced projects and/or programs. Acts as advisor to management and customers. Creates formal networks involving coordination among groups.
  • Education/Experience: Bachelor's and 14 years. Master's and 8 years. PhD and 6 years.

About Us
Benefits and Relocation
  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.
INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.
INL Mission:
Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.
INL Vision:
Our vision is to change the world's energy future and secure our nation's critical infrastructure.
Selective Service Requirements:
To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.
Equal Employment Opportunity:
Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Reasonable Accommodation:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Other Information:
When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.
INL does not accept resumes from third party vendors unsolicited.

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About Idaho National Laboratory

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Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

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