ZipRecruiter

Log In

1

Manager Applied Science Jobs in Arizona (NOW HIRING)

APS

Generation Plant Engineer I / II

Phoenix, AZ · On-site

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 ...

APS

Engineer III / Senior - Electrical Controls

Phoenix, AZ · On-site

$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 ...

next page

Showing results 1-20

All JobsApplied Science JobsManager Applied Science JobsManager Applied Science Jobs in Arizona

Manager Applied Science information

What can you do with a bachelor of applied science in management?

A Bachelor of Applied Science in Management prepares individuals for roles such as project manager, operations manager, or team leader. Graduates can work in various industries, utilizing skills in leadership, problem-solving, and organizational tools like MS Office or project management software.

What careers can I do with applied science?

A Manager in Applied Science can pursue careers in research and development, data analysis, product development, or technical consulting across industries such as technology, healthcare, and manufacturing. These roles often require strong analytical skills, knowledge of scientific principles, and proficiency with tools like data modeling software or laboratory equipment.

What is the salary of principal applied science manager?

The salary of a principal applied science manager typically ranges from $130,000 to $180,000 annually, depending on experience, location, and company size. They often have advanced degrees and expertise in machine learning, data analysis, or related fields, and may receive bonuses or stock options as part of compensation.

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 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

Full-time

Posted 14 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.

Apply