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Live In Night Shift Data Science Jobs in Arizona

Master's degree in an analytical field such as Mathematics, Computer Science, Information Management, Statistics, Engineering, Data Science, or a related discipline. * 1+ year of experience using ...

Howmet Fastening Systems (HFS) in Tucson, AZ is looking for a Night Shift Production Supervisor. Under the direction of the Operations Manager, this position is the first level of authority in the ...

New

Data Scientist/Statistician

Phoenix, AZ ยท On-site

$116K - $228K/yr

Our team is looking for an engineer with background in statistics and data science with strong ... Shift 1 (United States of America) Primary Location: US, Arizona, Phoenix Additional Locations:US ...

New

Data Scientist II

Tempe, AZ ยท Hybrid

$131K - $172K/yr

As a Data Scientist II you will drive data ... science projects across multiple teams and domains. In this role, you'll take ownership of ...

Bachelor's degree required in Mathematics, Data Science, Computer Science, Engineering, Physics, or another quantitative discipline; advanced degree preferred. * Strong technical foundation in ...

Howmet Fastening Systems (HFS) in Tucson, AZ is looking for a Night Shift Production Supervisor. Under the direction of the Operations Manager, this position is the first level of authority in the ...

New

HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced ... Night shift schedule: Monday - Friday; 10:00PM - 6:30AM Roles and responsibilities: * Assigns and ...

New

Data Scientist II

Tempe, AZ ยท On-site

$131K - $172K/yr

Contribute to improving data science practices, tooling, and documentation Requirements: * 3+ years of experience in data science, applied analytics, or a related quantitative field (industry ...

Data Scientist II

Tempe, AZ ยท Hybrid

$131K - $172K/yr

Contribute to improving data science practices, tooling, and documentation Requirements: * 3+ years of experience in data science, applied analytics, or a related quantitative field (industry ...

In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an ...

New

In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an ...

New

In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an ...

In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an ...

New

In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an ...

In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an ...

New

... both night and day shifts). This role supports data centers in various operational stages. The ... Science, Networking Engineering), or experience in a relevant field (e.g., Computer Science ...

AI Data Scientist - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

New

Showing results 41-60

Live In Night Shift Data Science information

What is the difference between Live In Night Shift Data Science vs Live In Night Shift Data Analysis?

AspectLive In Night Shift Data ScienceLive In Night Shift Data Analysis
CredentialsBachelor's or higher in Data Science, Computer Science, or related fieldsBachelor's in Data Analysis, Statistics, or related fields
Work EnvironmentCollaborative teams, tech companies, or research labsBusiness settings, finance, or marketing firms
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations
Job FocusBuilding models, algorithms, predictive analyticsInterpreting data, generating reports, insights

Live In Night Shift Data Science involves developing complex models and algorithms, requiring advanced technical skills. In contrast, Live In Night Shift Data Analysis focuses on interpreting data and providing actionable insights. Both roles often require similar credentials and work environments but differ in technical depth and responsibilities.

What are popular job titles related to Live In Night Shift Data Science jobs in Arizona?

For Live In Night Shift Data Science jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Live In Night Shift Data Science jobs in Arizona look for?

The top searched job categories for Live In Night Shift Data Science jobs in Arizona are:

What cities in Arizona are hiring for Live In Night Shift Data Science jobs?

Cities in Arizona with the most Live In Night Shift Data Science job openings:

Data Scientist

Phoenix, AZ โ€ข On-site

Other

Posted 11 days ago


Key responsibilities

  • Develop, evaluate, and improve statistical, machine learning, and AI models using appropriate performance metrics and analytical methodologies.

  • Perform data cleaning, feature engineering, exploratory data analysis, model evaluation, and support development of LLM-based applications.

  • Translate analytical findings into clear, actionable insights that support business decision-making.


Job description

Data ScientistPosition Summary

The Data Scientist supports internal AI and analytics initiatives by applying data science, machine learning, statistical modeling, and programming expertise to solve business problems. This role focuses on developing, evaluating, and documenting analytical, machine learning, and AI-driven solutions while ensuring results are accurate, explainable, and aligned with business objectives.

A successful candidate will possess a strong foundation in machine learning, statistical modeling, and advanced SQL, and will partner with senior data scientists, analytics engineers, and business stakeholders to translate complex analytical work into actionable business insights.


Principal Responsibilities
  • Develop, evaluate, and improve statistical, machine learning, and AI models using appropriate performance metrics and analytical methodologies.
  • Perform data cleaning, feature engineering, exploratory data analysis, model evaluation, prompt engineering, and support development of LLM-based applications.
  • Apply statistical techniques including hypothesis testing, time series analysis, and experimental or causal analysis to identify trends and measure business impact.
  • Translate analytical findings into clear, actionable insights that support business decision-making.
  • Participate in the full analytics lifecycle, including analysis, validation, deployment support, monitoring, and measurement of results.
  • Contribute to the enhancement and maintenance of existing analytics solutions, machine learning models, and AI applications.
  • Document solution designs, modeling approaches, analytical assumptions, data definitions, and limitations in a clear and reproducible manner.
  • Collaborate with business stakeholders and technical teams to understand requirements, validate outcomes, and ensure solutions meet operational needs.
  • Utilize modern AI and analytics techniques to address business challenges and drive data-informed decision making.
  • Perform other duties as assigned.

Required QualificationsMachine Learning & Modeling
  • Demonstrated experience developing and evaluating machine learning models, statistical models, and predictive analytics solutions.
  • Strong understanding of machine learning concepts, feature engineering, model evaluation, and statistical methodologies.
  • Experience applying advanced statistical modeling, machine learning techniques, and/or AI models to solve business problems.
SQL & Data Analysis
  • Strong SQL skills are required.
  • Proven ability to write complex SQL queries against large relational databases for data extraction, transformation, validation, and analysis.
  • Experience performing complex analysis on large data sets and translating findings into business recommendations.
Programming & Analytics
  • Strong Python programming skills within data science, machine learning, AI, and statistical analysis environments.
  • Experience conducting exploratory data analysis and building analytical workflows using Python and SQL.
Additional Preferred Technical Experience
  • Experience working with cloud-based data platforms and infrastructure such as Snowflake and AWS.
  • Familiarity with version control tools (Git) and collaborative development practices.
  • Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code.
  • Knowledge of Excel and Power BI.

Minimum Requirements
  • Master's degree in an analytical field such as Mathematics, Computer Science, Information Management, Statistics, Engineering, Data Science, or a related discipline.
  • 1+ year of experience using Python and advanced SQL to conduct complex analysis against large datasets.
  • 1+ year of experience building and evaluating machine learning models, statistical models, and/or AI applications.
  • 1+ year of experience working with large databases and performing complex analytical work.
  • Must reside in the Phoenix, Arizona metropolitan area.
  • This is primarily an in office position, with one remote day per week