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. 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 Document technical solutions, models, and development processes Qualifications Qualification 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
