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Manager Data Science Civil Engineering Jobs in Texas

Michaels Stores, Inc.

Manager - Data Science

Irving, TX · On-site

Manage a team of data scientists * Mentor analysts regarding analytics best practices, methodologies, and programming techniques * Develop objective staff development strategies, effectively growing ...

Lennar

Sr Manager, Data Science

Irving, TX

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Partner with AI Engineering, AI Product, and Data Engineering counterparts to ensure models are ...

Michaels Stores

Manager - Data Science

Irving, TX

Manage a team of data scientists * Mentor analysts regarding analytics best practices, methodologies, and programming techniques * Develop objective staff development strategies, effectively growing ...

Deloitte

Manager - Data Science / Data Lake

Dallas, TX · On-site

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Deloitte

Manager - Data Science / Data Lake

Houston, TX · On-site

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Gartner

Director, Data Science

Irving, TX · Remote

What You Will Need * 8-12 years of experience in data science, machine learning, or AI, with at least 3 years managing data science and engineering teams. * Master's Degree or PhD in a quantitative ...

Gartner

Director, Data Science

Irving, TX · On-site

What You Will Need * 8-12 years of experience in data science, machine learning, or AI, with at least 3 years managing data science and engineering teams. * Master's Degree or PhD in a quantitative ...

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Manager Data Science Civil Engineering information

Can you make $500,000 as a civil engineer?

A Manager in Data Science within civil engineering can potentially earn $500,000 annually, especially with extensive experience, advanced skills, and leadership roles overseeing large projects or teams. Such high salaries are typically found in senior management positions, consulting, or firms working on large-scale infrastructure projects, often requiring specialized certifications and a strong track record. Entry-level or mid-career civil engineers generally earn significantly less than this amount.

What engineers make $300,000 a year?

Senior data science managers and experienced civil engineering managers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High salaries are often associated with roles in large organizations, specialized expertise, or positions requiring advanced certifications and management of complex projects.

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 engineers make $500,000?

Senior data science managers and specialized civil engineering roles with extensive experience and advanced skills can reach salaries of $500,000 or more, especially in high-demand industries or senior leadership positions. Achieving this level often requires advanced degrees, certifications, and a strong track record of project success and leadership. Compensation varies based on location, company size, and individual expertise.

Can a civil engineer become a data scientist?

A civil engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional education or training. Their background in engineering and problem-solving can be advantageous, but they typically need to learn data analysis tools like Python, R, and SQL, and gain experience with data modeling and visualization.
What are the most commonly searched types of Data Science Civil Engineering jobs in Texas? The most popular types of Data Science Civil Engineering jobs in Texas are:
What are popular job titles related to Manager Data Science Civil Engineering jobs in Texas? For Manager Data Science Civil Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Manager Data Science Civil Engineering jobs in Texas look for? The top searched job categories for Manager Data Science Civil Engineering jobs in Texas are:
What cities in Texas are hiring for Manager Data Science Civil Engineering jobs? Cities in Texas with the most Manager Data Science Civil Engineering job openings:
Manager Data Science Civil Engineering jobs near you
Manager - Data Science

Manager - Data Science

Michaels Stores, Inc.

Irving, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 days ago

Michaels rating

4.8

Company rating: 4.8 out of 10

Based on 942 frontline employees who took The Breakroom Quiz

646th of 727 rated retailers

Job description

Support Center - Irving
The Manager - Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.
Major Activities
  • Strategic Thought Partnership
  • Design and execute analytics projects to quantify impact from various marketing campaigns
  • Identify growth opportunities for the business leveraging innovation and advanced analytical techniques
  • Work with business partners to identify the challenges that needs to be quantified
  • Act as subject matter expert for all projects in which involved

Data Analytics
  • Mine extensive database in support of business insights and measurement
  • Develop well-thought, actionable insights using advanced analytics techniques
  • Determine best approach for each analysis and articulate pros/cons of methodology
  • Ensure quality of data used in analysis and all presentation material
  • Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
  • Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships
  • Manage internal client relationships and serve as the SME for analytics within the CRM function
  • Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
  • Provide strategic recommendations based on analyses tied to the organization's goals that will drive business results
  • Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Innovation & Technology
  • Lead innovation in data science methodologies and tools, staying abreast of industry developments and proactively exploring opportunities to advance organizational capabilities and maintain a competitive edge.
  • Implement cutting-edge tools and best practices to enhance analytics capabilities.

Staff Management & Development
  • Manage a team of data scientists
  • Mentor analysts regarding analytics best practices, methodologies, and programming techniques
  • Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Other duties as assigned
Minimum Knowledge/Skills/Abilities
Minimum Education
  • Bachelor's degree in relevant quantitative field required, Master's preferred

Minimum Special Certifications or technical skills
  • Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
  • Proven track record of using data to provide actionable business results

Minimum Type of experience the job requires
  • A minimum of 5 years of relevant work experience in data science for a consumer centric company
  • Proven experience partnering with business decision makers on advanced analytics topics
  • Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts

Other
  • Work as a self-starter, not waiting for direction from senior leadership

Preferred Education
  • Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.
At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at Michaels.com and Michaels.ca. The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit www.michaels.com.
At Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit www.michaels.com.
Michaels is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.
Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-800-642-4235 (1800-MICHAEL).
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