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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 learningExperience applying AI to real-world manufacturing use casesStrong hands-on experience with Snowflake and SQL ServerProficiency in Python for data wrangling and model developmentAbility to communicate technical concepts to non-technical stakeholdersPassion for driving operational excellence through data and automationPreferred Skills
Familiarity with AI platforms such as Azure ML and practical deployment workflowsExposure to industrial data systems (MES, SCADA, PLCs) and IoT architecturesFamiliarity with MLOps practices and model governanceUnderstanding of lean manufacturing, Six Sigma, or process control methodologiesVisualization experience with Power BI, Qlik Sense, or similar toolsExperience with Databricks for scalable model training and orchestrationWhat We Offer
A leadership role in shaping our digital transformation journeySupport for professional growth in applied AI and industrial analyticsOpportunities to deploy AI where it matters-in real production environmentsAccess to modern cloud infrastructure and enterprise-grade data platformsA collaborative team bridging data science, manufacturing business execution, and technical engineeringThis 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.