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Natural Science Manager Jobs in Arizona (NOW HIRING)

Globe Telecom, Inc.

Data Science Manager

Globe, AZ · On-site

The Data Science Manager leads the end-to-end development of data-driven solutions, from ... Natural Language Processing: the interactions between computer and humans; * Machine learning ...

Freeport McMoRan

Chief Environmental Scientist

Claypool, AZ · On-site

$112K - $160K/yr

... Natural Resource Management) or Mathematics/Computer Science including Accounting and Finance, or, Business Management or other Bachelor's degree, and seven (7) years of related experience, OR Master ...

Freeport McMoRan

Environmental Scientist II

Phoenix, AZ · On-site

$87K - $120K/yr

... Environmental/Natural Resource Management) or Mathematics/Computer Science including Accounting and Finance, or Business Management or other Bachelor's degree, and at least three (3) years ...

Freeport McMoRan

Environmental Scientist II

Phoenix, AZ · On-site

$87K - $120K/yr

... Environmental/Natural Resource Management) or Mathematics/Computer Science including Accounting and Finance, or Business Management or other Bachelor's degree, and at least three (3) years ...

Freeport McMoRan

Chief Environmental Scientist

Phoenix, AZ · On-site

$112K - $160K/yr

... Natural Resource Management); or Mathematics/Computer Science including Accounting and Finance, or, Business Management or other Bachelor's degree, and seven (7) years related experience; OR Master ...

Freeport McMoRan

Chief Environmental Scientist

Phoenix, AZ · On-site

$112K - $160K/yr

... Environmental/Natural Resource Management); or Mathematics/Computer Science including Accounting and Finance, or, Business Management or other Bachelor's degree, and seven (7) years related ...

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All JobsNatural Science JobsNatural Science Manager JobsNatural Science Manager Jobs in Arizona

Natural Science Manager information

See Arizona salary details

$27K

$97.5K

$110K

How much do natural science manager jobs pay per year?

As of Aug 28, 2026, the average yearly pay for natural science manager in Arizona is $97,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $108,600.00 per year, depending on experience, location, and employer.

What is a natural science manager?

Natural Science Managers are professionals who oversee the work of scientists, including chemists, physicists, and biologists, in organizations such as research institutions, government agencies, or private companies. They are responsible for planning and coordinating scientific research and development projects, managing budgets, and ensuring that their teams meet project goals and comply with regulations. In addition to administrative duties, they may also help develop research strategies and interpret results. Natural Science Managers usually have extensive experience in a scientific discipline and strong leadership skills.

How do natural science managers balance administrative duties with leading scientific research projects?

Natural Science Managers often split their time between overseeing administrative tasks—such as budgeting, scheduling, and compliance—and guiding the scientific direction of their teams. This dual responsibility requires strong organizational skills, as managers must ensure that research projects stay on track while also managing staff, reporting progress, and securing funding. Effective Natural Science Managers create clear communication channels and delegate tasks appropriately to balance these demands, enabling them to support both the scientific and operational success of their departments.

What are the key skills and qualifications needed to thrive as a natural science manager?

To thrive as a Natural Science Manager, you need a strong background in scientific research, project management, and typically a graduate degree in a relevant science field. Familiarity with data analysis software, laboratory management systems, and sometimes specific certifications in project management or environmental regulations are commonly required. Leadership, effective communication, and problem-solving skills help managers coordinate teams and translate scientific findings into actionable strategies. These combined skills ensure successful project execution, regulatory compliance, and the advancement of organizational goals in scientific settings.

What is the difference between Natural Science Manager vs Environmental Scientist?

AspectNatural Science ManagerEnvironmental Scientist
Required CredentialsBachelor's or higher in natural sciences, often with management experienceBachelor's or higher in environmental science, biology, or related fields
Work EnvironmentLeads teams in research, labs, or field projects within organizationsConducts fieldwork, research, and data analysis in environmental settings
Employer & Industry UsageResearch institutions, government agencies, private companiesEnvironmental consulting firms, government agencies, NGOs
Common Search & Comparison IntentUnderstanding managerial roles in natural sciencesEnvironmental research and fieldwork roles

The main difference is that a Natural Science Manager oversees scientific teams and projects within natural sciences, focusing on management and coordination, while an Environmental Scientist primarily conducts research and fieldwork to assess environmental conditions. Both roles require relevant scientific credentials, but the manager's role emphasizes leadership and organizational skills.

How long does it take to become a natural science manager?

Becoming a natural science manager typically requires at least a bachelor's degree in a relevant field, which takes about four years, followed by several years of experience in scientific research or related roles. Many positions also prefer candidates with a master's or doctoral degree and leadership skills, which can extend the timeline to 8-10 years or more depending on career progression and industry requirements.

How much do natural science managers make?

Natural science managers in Colorado typically earn an average annual salary of around $100,000 to $130,000, depending on experience, education, and the specific industry. They often oversee research projects, manage teams, and require strong knowledge of scientific methods and project management skills.

What cities in Arizona are hiring for Natural Science Manager jobs?

Cities in Arizona with the most Natural Science Manager job openings:

Natural Science Manager jobs near you
Infographic showing various Natural Science Manager job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 2% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $97,452 per year, or $46.9 per hour.

Data Science Manager

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Re-posted 20 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The Data Science Manager leads the end-to-end development of data-driven solutions, from translating business needs into data science projects, to building, deploying, and monitoring predictive models in production. This role ensures models deliver measurable business impact, maintains the reliability of machine learning pipelines, and collaborates closely with business, product, and engineering teams to integrate data science solutions into operational systems.

DUTIES AND RESPONSIBILITIES:

Data Exploration & Feature Engineering

  • Lead data extraction, exploration, cleansing, and transformation of large and complex datasets

  • Design, engineer, and validate features needed for predictive models and advanced analytics

  • Build frameworks and data pipelines that combine telco datasets with digital, social, and external data sources to create a holistic customer view.

Model Development & Performance Management

  • Translate business problems into clear data science approaches and model requirements

  • Build, test, and deploy machine learning and statistical models that address business needs

  • Track performance, accuracy, drift, and business value of deployed models

  • Conduct periodic model tuning and ensure continuous improvement aligned with ROI goals.

Insights, Applications & Business Enablement

  • Translate model outputs into clear insights, actionable recommendations, and campaign or operational strategies

  • Identify new opportunities to apply data science, especially in customer behavior prediction, segmentation, and credit risk scoring.

  • Partner with business teams to embed analytics solutions into decision-making and customer lifecycle programs.

REQUIREMENTS:

Work Experience

  • Minimum of three (3) years' experience in customer analytics domain and/or credit risk assessment and financial services, covering most of the following: data mining, predictive modeling, machine learning, statistical modeling and analysis, large scale data acquisition, transformation, and cleaning, both structured and unstructured data

  • Proven track record of leading and collaborating on advanced analytics strategic initiatives; Proven track record of operationalization of analytic models in collaboration with marketing/risk and IT teams

  • Worked with large, unfiltered data sets or data science research

Level of Knowledge

  • Has Knowledge of both structured and unstructured data

  • Must possess core competencies, deep understanding and relevant experience in

  • Scripting or programming experience: familiarity in programming languages with relational databases (e.g. Python, Java, Ruby, Clojure, Matlab, Pig, SQL);

  • Statistical Analysis: advanced usage of off-the-shelf tools such as R, SAS, SPSS, Weka and other analytical tools or software

  • Big Data: Experience with Big data tools such as HDFS, Cassandra, Storm

  • Database knowledge: skilled in structured database

  • Familiar with most of the following disciplines:

  • Conceptual modeling: to be able to share and articulate modeling;

  • Predictive modeling: most of the big data problems are towards being able to predict future outcomes;

  • Hypothesis testing: being able to develop hypothesis and test them with careful experiments;

  • Natural Language Processing: the interactions between computer and humans;

  • Machine learning: using computers to improve as well as develop algorithms;

  • Statistical analysis: to understand and work around possible limitations in models.

Education

  • Degree in quantitative discipline such as Statistics, mathematics, Operations Research, Engineering, Computer Science, Econometrics or Information Science such as Business Analytics or Informatics

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

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