Technical Professional - Data Science/Senior Technical (AI Engineer)

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.

Job Duties

Under general supervision, a Data Scientist will perform data engineering, data modeling or model deployment.

A Data Scientist will collaborate to obtain data from sources, complete data clean up and build a data dictionary under guidance.

This role is able to build models under guidance and understand how to deploy the model and assist in the deployment process.

Transition legacy SQL Server reporting infrastructure to a Snowflake-based data lake architecture

Understand business requirements, analyze operational challenges, and develop AI-driven solutions that deliver measurable business value and process improvements

Design, develop, and implement AI/ML models and algorithms

Build and deploy machine learning, deep learning, and NLP solutions

Work with structured and unstructured datasets to extract meaningful insights

Develop and optimize data pipelines for model training and deployment

Integrate AI models into applications through APIs or cloud platforms

Monitor model performance and continuously improve model accuracy and efficiency

Stay updated with the latest advancements in AI and machine learning technologies

Qualifications

An undergraduate degree in STEM and 1+ years of related experience is required, master's degree in STEM preferred.

Preferred Certifications (Added Advantage)

AI / Machine Learning certifications

Data Analyst certifications

Data Science certifications

Cloud certifications (Azure, AWS, or GCP)

Required skills:

Strong programming skills in Python (preferred), Java, or C++

Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn

Hands-on experience with Snowflake data platform

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available, including Technical Professional -Data Science, and Senior Technical Professional -Data Science

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

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