ZipRecruiter

Log In

1

Data Science Jobs in Douglas, AZ (NOW HIRING)

Ottobock

Agentic AI Enablement Manager (d/f/m)

AZ · Remote

University degree, for example in computer science, business informatics, data science, industrial engineering or a comparable field * Several years of hands-on experience with Generative AI, AI ...

New

NEOGOV

IT Technician I - Bisbee

Bisbee, AZ · On-site

Required : • An Associate's Degree in Computer Science, Electrical Engineering, Applied ... data telecommunications and network equipment • Knowledge of techniques for setting up and ...

Cochise County, AZ

Systems Librarian - Bisbee

Bisbee, AZ · On-site

$58K - $71K/yr

Minimum Qualifications A Master's degree in Library and Information Science or Library Science from ... data, and preparing reports. Ability to: * prioritize, plan, and organize work; * form effective ...

Cochise County

Systems Librarian - Bisbee

Bisbee, AZ · On-site

$53K - $61K/yr

Minimum Qualifications A Master's degree in Library and Information Science or Library Science from ... data, and preparing reports. Ability to: prioritize, plan, and organize work; form effective ...

Laukoa

Natural Resources Monitor

Douglas, AZ · On-site

$30/hr

Collect project-related data, which may include supporting surveys for listed species; surveying ... Requirements * 2 years of environmental monitoring experience * BS in biological sciences or ...

DAWSON

Natural Resources Monitor

Douglas, AZ · On-site

$30/hr

Collect project-related data, which may include supporting surveys for listed species; surveying ... Requirements * 2 years of environmental monitoring experience * BS in biological sciences or ...

DAWSON

Natural Resources Monitor

Douglas, AZ · On-site

$30/hr

Collect project-related data, which may include supporting surveys for listed species; surveying ... Requirements * 2 years of environmental monitoring experience * BS in biological sciences or ...

NEOGOV

Help Desk Support Technician - Bisbee

Bisbee, AZ · On-site

$15 - $20.25/hr

Required : • An Associate Degree in Computer Science, Electrical Engineering, Applied Electronics ... data telecommunications equipment. • Knowledge of techniques for setting up and testing ...

US Navy

Oceanographer/Meteorologist

Tombstone, AZ

... data. Ensure safety of navigation, access to denied waters, freedom to maneuver at will, and ... A desired degree is in physics, physics-based oceanography, meteorology, hydrography, earth science ...

US Navy

Oceanographer/Meteorologist

Douglas, AZ

... data. Ensure safety of navigation, access to denied waters, freedom to maneuver at will, and ... A desired degree is in physics, physics-based oceanography, meteorology, hydrography, earth science ...

next page

Showing results 1-20

All JobsData Science JobsData Science Jobs in Douglas, AZ

Data Science information

See Douglas, AZ salary details

$34.2K

$112K

$179.3K

How much do data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science in Douglas, AZ is $112,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,900.00 and $124,100.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What cities near Douglas, AZ are hiring for Data Science jobs?

Cities near Douglas, AZ with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Douglas, AZ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,019 per year, or $53.9 per hour.

Agentic AI Enablement Manager (d/f/m)

Ottobock

AZ • Remote

Full-time

Medical, PTO

Posted 2 days ago

New

Job description

Summary Statement

Agentic artificial intelligence is changing how companies use knowledge, complete tasks and automate business processes. As Agentic AI Enablement Manager (f/m/d), you are part of Global IT and drive the secure, scalable and value-adding use of AI agents across the business. 

You enable selected employees and business functions to independently develop and use AI agents and AI-powered automations. Your focus is on helping people help themselves: you provide technical and methodological knowledge, support concrete use cases and build an active AI Builder Community within the business. 

The role focuses on self-service platforms such as Microsoft 365 Copilot Agent Builder, Microsoft Copilot Studio and AgentBricks. You bring a deep, technology-independent understanding of agentic systems and AI-powered process automation and help define suitable use cases as well as clear boundaries for using these platforms. 

Together with relevant IT functions, you develop the required governance structures. This includes defining approved capabilities, distinguishing suitable self-service scenarios and managing licenses, budgets and consumption-based costs. 

In addition, you continuously monitor new technologies and solutions in the market, assess their relevance for Ottobock and help bring suitable innovations into the company in a secure and structured way.

Duties & Responsibilities
  • Build and continuously develop a company-wide enablement approach for Agentic AI and AI-powered process automation 
  • Enable selected Business Builders to independently develop secure and value-adding AI agents and AI flows 
  • Build, moderate and support an AI Builder Community and develop practical training, workshop and support formats 
  • Advise business functions on identifying, evaluating and prototyping suitable Agentic AI use cases 
  • Collaborate with external partners on training, enablement activities, technology consulting and selected use-case implementations 
  • Develop clear governance guardrails for self-service, data and capability use, security, data privacy, Responsible AI and escalation paths 
  • Manage platform access, licenses, budgets and consumption-based costs together with the responsible IT and business functions 
  • Monitor and assess new market and technology developments and support the selection and introduction of suitable platforms, capabilities and solution approaches 
  • Build standards, templates, best practices and reusable components in alignment with Data & Analytics, Enterprise Architecture, Information Security, Data Privacy and IT Integration
Qualifications
  • Passion for Agentic AI, Generative AI, process automation and modern self-service technologies 
  • University degree, for example in computer science, business informatics, data science, industrial engineering or a comparable field 
  • Several years of hands-on experience with Generative AI, AI agents, intelligent automation or low-code/no-code platforms 
  • Deep understanding of agentic systems, particularly orchestration, tool and API use, knowledge access, human-in-the-loop, testing and monitoring 
  • Hands-on experience with Microsoft 365 Copilot Agent Builder, Microsoft Copilot Studio, AgentBricks or comparable Agentic AI and automation platforms 
  • Good understanding of cloud architectures, data sources, interfaces, identity and authorization concepts, and security and data privacy requirements 
  • Experience in business enablement, community management, citizen developer programs or comparable self-service approaches 
  • Enjoyment in explaining complex technical topics clearly and enabling others to implement solutions independently 
  • Ability to quickly understand business processes and translate them into suitable Agentic AI solution approaches 
  • Strong awareness of Responsible AI, governance, cost management and the secure use of AI in an enterprise context 
  • Hands-on mentality, initiative and strong communication, facilitation and stakeholder management skills 
  • Excellent German and English skills
Benefits
  • An innovative role at the interface of AI, business and Global IT with high visibility and room to shape 
  • The opportunity to actively help shape Ottobock's AI journey 
  • Attractive compensation package including bonus and 30 days of vacation 
  • Flexible, family-friendly working time models and the option to work remotely 
  • Individual development and training opportunities - including the Ottobock Academy and external training offers 
  • An appreciative, international corporate culture with regular team events 
  • Extensive corporate benefits, health programs and additional discounts 

Apply