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Manager Applied Science Jobs in Arizona (NOW HIRING)

APS

Generation Plant Engineer I / II

Phoenix, AZ

A four-year Bachelors degree in an engineering discipline or related applied science discipline ... May present findings to a diverse group of management, internal staff, customers, vendors, etc. 2) ...

APS

Engineer III / Senior - Electrical

Phoenix, AZ

$106K - $139K/yr

If you have a pragmatic, detail-oriented perspective with good time management skills and enjoy ... A four year Bachelor of Science degree in an engineering discipline or related applied science ...

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Manager Applied Science information

What can I do with my applied science degree?

A Manager in Applied Science can pursue roles in research and development, data analysis, or technical management across industries such as technology, manufacturing, or healthcare. The degree provides a foundation in scientific principles, problem-solving, and technical skills, often complemented by certifications or experience in specific tools or methodologies.

What can I do with applied science?

A Manager in Applied Science oversees the development and implementation of scientific research and technological solutions across industries such as healthcare, manufacturing, or technology. They often coordinate teams, manage projects, and utilize skills in data analysis, research methodologies, and technical tools to drive innovation and solve complex problems.

What is the difference between Manager Applied Science vs Data Scientist?

AspectManager Applied ScienceData Scientist
Required CredentialsAdvanced degrees in science or engineering, leadership experienceDegree in statistics, computer science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsAnalyzes data, builds models, provides insights
Employer & Industry UsageTech, manufacturing, biotech, research organizationsTech companies, finance, healthcare, consulting

The main difference is that a Manager Applied Science oversees scientific teams and projects, focusing on leadership and strategic direction, while a Data Scientist primarily analyzes data and develops models. Both roles require strong technical skills, but the Manager Applied Science emphasizes management and coordination within scientific contexts.

What can I do with a management science degree?

A management science degree prepares individuals for roles such as Manager of Applied Science, where they analyze data, optimize processes, and develop strategies using quantitative methods and tools like statistical software. Graduates can work in industries like technology, finance, consulting, or healthcare, often requiring strong problem-solving skills and knowledge of data analysis. The degree supports careers focused on decision-making, project management, and operational efficiency.

What is an applied science manager?

An applied science manager oversees teams that develop practical solutions based on scientific research and principles. They coordinate research projects, manage technical staff, and ensure the application of scientific methods to meet organizational goals, often requiring strong technical expertise and leadership skills.
What are the most commonly searched types of Applied Science jobs in Arizona? The most popular types of Applied Science jobs in Arizona are:
What cities in Arizona are hiring for Manager Applied Science jobs? Cities in Arizona with the most Manager Applied Science job openings:
Manager Applied Science jobs near you

Manager - Applied AI/ML for Hyper-Personalization

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Posted 2 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 manager for Applied AI and Machine Learning for Hyper-Personalization champions the use of AI, data science, machine learning, and advanced analytics in enabling hyper-personalization for campaign management, and drives the day-to-day execution of the data science team, leading the team to develop and implement AI and machine learning models from development to operationalization in the delivery of hyper-personalized campaigns

DUTIES AND RESPONSIBILITIES:

The responsibilities of this position will include but will not be limited to the following:

  • Champion data science, AI, and machine learning to Identify opportunities and partner with stakeholders for the application of AI, machine learning and advanced analytics techniques towards enabling hyper-personalization efforts for customer engagement campaigns, and unlock new AI use cases to drive better take-up or incremental revenues in campaigns.

  • Conceptualize, design, develop and implement machine learning and AI models related to campaign targeting and offers, such as propensity models for predicting different customer states to uncover upsell and churn-save opportunities, as well as recommender systems to improve offer arbitration for customers. - Create models based on the needs and requirements of the campaign squads, and deliver the models end-to-end from exploratory data analysis, to ideation and selection of models, to eventual operationalization and monitoring of model performance.

  • Lead the data science team in the day-to-day execution of the team's tasks in the execution of the team's backlog, and provide guidance on backlog prioritization, and manage team's workload to properly balance delivery, and manage impediments and dependencies raised. Ensure that AI scores and models are running and generated to support the regular campaign runs and delivery of hyper-personalized offers.


Drive cross-functional collaboration for specific campaigns/programs where AI techniques or approaches are involved, providing recommendations on effective and efficient ways to integrate AI and analytics to the work process or platforms involved.

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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