Data Science Technical Professional (Manufacturing)

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 This position can either sit in the Halliburton Carrollton office or Houston Corporate office 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. 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. #J-18808-Ljbffr