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Manager Data Science Civil Engineering Jobs in Arizona

The Data Science Manager leads the end-to-end development of data-driven solutions, from ... Data Exploration & Feature Engineering * Lead data extraction, exploration, cleansing, and ...

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Civil Engineering Tutor

Tucson, AZ · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Civil Engineering Tutor

Tempe, AZ · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Civil Engineering Tutor

Mesa, AZ · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... management, and service performance. The Data Science Analyst partners with business leaders, operations teams, IT, data engineering, and analytics stakeholders to identify high-value use cases ...

... management, and service performance. The Data Science Analyst partners with business leaders, operations teams, IT, data engineering, and analytics stakeholders to identify high-value use cases ...

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Manager Data Science Civil Engineering information

What is the difference between Manager Data Science Civil Engineering vs Civil Engineering Project Manager?

AspectManager Data Science Civil EngineeringCivil Engineering Project Manager
Required CredentialsMaster's in Data Science, Civil Engineering, or related field; certifications in project management or data analyticsBachelor's or Master's in Civil Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentData analysis teams, engineering firms, research institutionsConstruction sites, engineering firms, project offices
Employer & Industry UsageTech-driven civil engineering projects, infrastructure analyticsConstruction projects, infrastructure development, urban planning

The Manager Data Science Civil Engineering focuses on analyzing data to optimize civil engineering projects, while the Civil Engineering Project Manager oversees the planning, execution, and completion of civil construction projects. Both roles require engineering knowledge but differ in their core responsibilities and work environments.

What are the most commonly searched types of Data Science Civil Engineering jobs in Arizona?

The most popular types of Data Science Civil Engineering jobs in Arizona are:

What are popular job titles related to Manager Data Science Civil Engineering jobs in Arizona?

For Manager Data Science Civil Engineering jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Manager Data Science Civil Engineering jobs in Arizona look for?

The top searched job categories for Manager Data Science Civil Engineering jobs in Arizona are:

What cities in Arizona are hiring for Manager Data Science Civil Engineering jobs?

Cities in Arizona with the most Manager Data Science Civil Engineering job openings:

Data Science Manager

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Re-posted 15 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.