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Data Science Technical Professional (Manufacturing) Job Opening In Carrollton – Now Hiring Halliburton


Job description

We are looking for the right people — people who want to innovate, achieve, grow and lead.

We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers.

Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

 

Role Overview

We’re seeking a forward-thinking Data Scientist/AI generalist to help lead our digital transition in manufacturing through innovative, intelligent automation.

This role is ideal for someone who thrives on applying proven AI platforms and techniques to drive continuous improvement across production, quality, and operations.

You’ll work hands-on with tools like Snowflake, Azure services, and SQL Server to build scalable solutions.

 

Key Responsibilities

  • Lead initiatives that apply AI to optimize manufacturing workflows, reduce downtime, and improve product quality
  • Design and deploy intelligent automation solutions that enable continuous improvement across operations
  • Integrate commercial AI tools, platforms, and models for scalable deployment
  • Champion best practices in model monitoring, retraining, and lifecycle management
  • Analyze production data from MES, SCADA, and sensor systems to uncover actionable insights
  • Build and maintain robust data pipelines using Snowflake and other cloud native services to support model development and analytics
  • Collaborate with cross-functional teams to translate operational challenges into data-driven strategies
  • Develop visualizations and dashboards that empower teams to make informed decisions

 

Required Qualifications

  • 2+ years of experience in data science or applied machine learning
  • Experience applying AI to real-world manufacturing use cases
  • Strong hands-on experience with Snowflake and SQL Server
  • Proficiency in Python for data wrangling and model development
  • Ability to communicate technical concepts to non-technical stakeholders
  • Passion for driving operational excellence through data and automation

 

Preferred Skills

  • Familiarity with AI platforms such as Azure ML and practical deployment workflows
  • Exposure to industrial data systems (MES, SCADA, PLCs) and IoT architectures
  • Familiarity with MLOps practices and model governance
  • Understanding of lean manufacturing, Six Sigma, or process control methodologies
  • Visualization experience with Power BI, Qlik Sense, or similar tools
  • Experience with Databricks for scalable model training and orchestration

 

What We Offer

  • A leadership role in shaping our digital transformation journey
  • Support for professional growth in applied AI and industrial analytics
  • Opportunities to deploy AI where it matters—in real production environments
  • Access to modern cloud infrastructure and enterprise-grade data platforms
  • A collaborative team bridging data science, manufacturing business execution, and technical engineering

 

 

World Class Benefits

At Halliburton, we're committed to providing you and your family with a comprehensive and affordable benefits package - which means we offer support for your physical, emotional, financial and parental needs, both now and in the future.

When you join our team, you'll have access to a wide range of resources designed to help you thrive at work and at home.

By clicking , you can review a summary of the benefits available once you join.

 

 

This position can either sit in the Halliburton Carrollton office or Houston Corporate office

 

Halliburton is an Equal Opportunity Employer.

Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

 

Location

2550 Country Club Dr., Carrollton, Texas, 75006, United States 

 

Job Details

Requisition Number: 202405 
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Supply Chain Mgmt 
Full Time / Part Time: Full Time

Additional Locations for this position: Houston

 

Compensation Information
Compensation is competitive and commensurate with experience.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Data Science Potential: Insight & Career Growth Guide


Real-time Data Science Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Science in Carrollton, United States, highlighting market share and opportunities for professionals in Data Science roles.

48835 Jobs in United States
48835
21 Jobs in Carrollton
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Download Data Science Jobs Trends in Carrollton and United States

Are You Looking for Data Science Technical Professional (Manufacturing) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Halliburton adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Data Science Technical Professional (Manufacturing) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Carrollton. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Science Technical Professional (Manufacturing)?

Key qualifications for Data Science Technical Professional (Manufacturing) typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Data Science Technical Professional (Manufacturing), consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Science Technical Professional (Manufacturing) Job Success

Halliburton interview tips for Data Science Technical Professional (Manufacturing)

Here are some tips to help you prepare for and ace your Data Science Technical Professional (Manufacturing) job interview:

Before the Interview:

Research: Learn about the Halliburton's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Science Technical Professional (Manufacturing) interview at Halliburton, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Halliburton's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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