877 Junior Linux Admin jobs in Chandler, AZ
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Workday Configuration Specialist

Boeing

Mesa, AZ

Hybrid~ 27 minHealth InsuranceRetirement Benefit

  • 3+ years of experience configuring, implementing, and administering Workday functionality in one or more functional areas: Time and Absence, Benefits, Compensation, and/or Payroll
  • 3+ years of experience working with HR teams in deploying and supporting HR technology
  • 3+ years of experience in Requirements Management
  • 3+ years of experience with requirements-based testing
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Substitute Teacher - No Experience Needed!

Copilot Careers

Gilbert, AZ

$150/day
~ 13 min OnsiteUrgently HiringFlexible Schedule

  • Arizona Substitute Certificate or Teaching Certificate
  • Bachelor's Degree or Higher
  • Arizona DPS IVP Fingerprint Clearance
  • 21 years of age
  • Proficient in English (speaking, reading, writing)
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Machine Operator - (O3)

Applied Materials

Tempe, AZ

~ 17 min Onsite

  • Can safely operate most of the major shop tools (CNC Router, Laser, Water Jet, Sheet Metal Brake, Teflon Press, Manual Mill, Manual Lathe, Fork Lift, and Cranes)
  • Conforms to departmental safety requirements
  • This is a very physically demanding position that often requires standing for extended periods of time, walking, bending, squatting, twisting, kneeling, reaching, lifting, the ability to distinguish between colors, the ability to work in an environment with noise that may be difficult for some individuals with sensitivity to noise, the use of hand and power tools, and driving or operating heavy machinery including forklifts
  • Possesses a good working knowledge of trigonometry, which is required to accurately calculate angles used in set-ups and machining
  • Maintains cleanliness of the work area and ensures proper handling of tools, equipment, and stock to prevent loss
  • Machine Operator
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Entry Level Border Patrol Agent - Up to $30,000 Sign On Bonus

United States Customs and Border Protection

Gilbert, AZ

$30,000 bonus
Bilingual PreferredHealth InsurancePaid Time OffRetirement Benefit
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Data Scientist Senior - Fraud Identity Analytics

USAA

Phoenix, AZ

~ 35 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
  • Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics
  • Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
  • Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
  • 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models
  • Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts
  • Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency)
  • Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
  • Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field
  • Experience guiding and mentoring junior technical staff in business interactions and model building
  • Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results
  • 6 years of experience in a predictive analytics or data analysis
  • 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models
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