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Technical Operations Scientist Jobs in Arizona (NOW HIRING)

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

The Data Scientist III communicates technical and analytical concepts across all levels of the ... operational analytics (logistics, route optimization, maintenance optimization)

Assess clinical and operational data readiness, identify data gaps, define feature strategies, and ... Serve as a senior advisor to clinical, technical, and executive stakeholders, helping them ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Perform feature engineering using clinical, operational, and financial data * Experiment with ... Collaborate with ML Engineering to productionize models on Azure Technical Environment (Azure AI/ML ...

Environmental Scientist

Sahuarita, AZ · On-site

$70K - $92K/yr

... operations. Purpose of Role: Reporting to the Senior Environmental Scientist, the Environmental Scientist will provide technical support and guidance to the construction and operating teams through ...

Data Scientist II

Phoenix, AZ · On-site

$120 - $160/hr

... technical and non-technical stakeholders; translate complex analyses into clear narratives ... Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ...

DevOps Engineer (AIOps)

Tempe, AZ · On-site

$50.50 - $69.25/hr

The AIOps Engineer is a technical operational engineering role responsible for improving DevOps, ... Bachelor's degree in computer science, Information Systems, Engineering, or equivalent combination ...

... technical and non-technical stakeholders; translate complex analyses into clear narratives ... Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ...

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

... technical and non-technical stakeholders; translate complex analyses into clear narratives ... Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ...

... our operations to enhance how work gets done and deliver greater value to customers and patients ... Advise/consult with laboratory technical staff regarding routine testing issues and practices ...

... our operations to enhance how work gets done and deliver greater value to customers and patients ... Advise/consult with laboratory technical staff regarding routine testing issues and practices ...

... technical and non-technical stakeholders; translate complex analyses into clear narratives ... Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ...

Provide technical leadership to junior scientists, guiding the transition of R&D concepts into ... operational system. * Drive one or more phases of the ML development lifecycle: shape datasets ...

... technical and non-technical stakeholders; translate complex analyses into clear narratives ... Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ...

Showing results 41-60

Technical Operations Scientist information

What is a technical operations scientist?

Technical Operations Scientists are professionals who bridge the gap between scientific research and operational processes in industries such as pharmaceuticals, biotechnology, or manufacturing. They focus on ensuring that scientific procedures are efficiently translated into scalable production systems, maintaining product quality and compliance. Their responsibilities often include troubleshooting process issues, optimizing workflows, supporting technology transfer, and liaising between research, development, and production teams. This role is critical for maintaining seamless operations and supporting continuous improvement in technical environments.

What are some typical challenges technical operations scientists face when transitioning from research-focused roles?

Technical Operations Scientists often encounter challenges when shifting from research to operations, such as adapting to a faster-paced environment with strict timelines and regulatory requirements. Unlike pure research roles, this position emphasizes process optimization, troubleshooting, and cross-functional collaboration with manufacturing, quality assurance, and engineering teams. Success often depends on strong communication skills, attention to detail, and the ability to quickly resolve issues to maintain seamless production. Embracing these new responsibilities can offer valuable career growth and exposure to large-scale product development.

What are the key skills and qualifications needed to thrive as a technical operations scientist, and why are they important?

To thrive as a Technical Operations Scientist, you need a strong background in life sciences or engineering, analytical problem-solving abilities, and relevant industry experience, often supported by a bachelor’s or master’s degree. Familiarity with laboratory information management systems (LIMS), process validation, and quality control tools is typically required, along with knowledge of regulatory standards such as GMP. Strong communication, attention to detail, and teamwork skills help you collaborate effectively and troubleshoot complex operational issues. These competencies ensure processes run smoothly, products meet quality standards, and regulatory compliance is maintained in a high-stakes technical environment.

What is the difference between Technical Operations Scientist vs Laboratory Scientist?

AspectTechnical Operations ScientistLaboratory Scientist
CredentialsBachelor's or Master's in Life Sciences, Chemistry, or related fields; often requires technical certificationsBachelor's or Master's in Life Sciences, Chemistry, or related fields; certifications vary by specialization
Work EnvironmentManufacturing facilities, biotech companies, or research labs focusing on process optimization and technical supportResearch labs, clinical labs, or academic settings conducting experiments and analyses
Employer & Industry UsageBiotech, pharmaceutical, and manufacturing industries; involved in technical operations and process troubleshootingAcademic, clinical, or research institutions; focused on experimental work and data collection

The Technical Operations Scientist and Laboratory Scientist roles share educational backgrounds and work in scientific environments. However, the Technical Operations Scientist emphasizes process support, technical troubleshooting, and manufacturing operations, while the Laboratory Scientist focuses on experimental research and data analysis. Both roles are essential in biotech and pharma industries but serve different functions within the research and production pipeline.

What job categories do people searching Technical Operations Scientist jobs in Arizona look for?

The top searched job categories for Technical Operations Scientist jobs in Arizona are:

What cities in Arizona are hiring for Technical Operations Scientist jobs?

Cities in Arizona with the most Technical Operations Scientist job openings:

Infographic showing various Technical Operations Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Scientist

Mondo

Phoenix, AZ • On-site

$136K - $164K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

Job Title: Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent Compensation: $136,900 - $164,300 Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Our client is seeking a Data Scientist III specializing in Generative AI and agentic architectures, with proven experience building and scaling end-to-end RAG solutions and autonomous AI agents while embedding Responsible AI practices across model development, deployment, and governance. This role drives internal data analytics projects ranging from short data explorations to long-term implementations of advanced predictive and machine learning models. The Data Scientist III communicates technical and analytical concepts across all levels of the organization and influences the roadmap through data-based recommendations. You will join a growing team of data scientists and help shape how AI is built and deployed across the business.

Day-to-Day Responsibilities:

  • Build robust Agentic AI and RAG applications using Responsible AI practices across model development, deployment, and governance
  • Participate in the end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking
  • Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess impact and extract trends across functional areas
  • Build statistical models to enhance understanding of trends and predict future performance
  • Design experiments and interpret results to draw detailed, actionable conclusions
  • Design, validate, and evaluate solutions using Python, SQL, and other programming tools
  • Transform data into actionable insights and recommendations, and support standard analyses, reports, and dashboards
  • Collaborate with stakeholders and other teams to gather data, build relationships, and champion ML capabilities for non-technical audiences
  • Educate and mentor team members on data science best practices, statistical programming, and data preparation

Minimum Requirements:

  • 5 years of experience as a Data Scientist working with large databases to perform complex analysis
  • Master's degree in a STEM field
  • Strong MLOps background - big focus, including carrying models through the full development cycle into live production
  • Must currently reside within commuting distance to Phoenix, AZ
  • 5 years of Python
  • 5 years of SQL
  • Git experience
  • Experience building and deploying ML/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment
  • Strong statistical modeling skills (multivariate regression, logistic regression, cluster analysis, design of experiments, decision trees)
  • Strong communication skills and experience working directly with stakeholders
  • Hands-on AI experience (at minimum, active personal use)
Preferred Qualifications:
  • Snowflake
  • AWS
  • Startup mindset
  • Proficiency with Excel and PowerBI
  • Experience with commercial analytics (pricing optimization, customer segmentation, churn/LTV) or operational analytics (logistics, route optimization, maintenance optimization)