Data Analyst - Entry Level (Remote)

Position Overview

This is a Full Remote opportunity available from Texas (USA). We are looking for innovative, driven individuals who want to achieve, grow, and lead. At our company, we invest in our employees and empower them to develop their careers while facing rewarding challenges in one of the world’s largest energy industry service providers.

Key Responsibilities

• Perform data engineering, data modeling, and model deployment under general supervision.
• Analyze large-scale complex business data (time series, structured/unstructured) from various sources to draw insights.
• Leverage open-source Machine Learning/Deep Learning packages to identify data patterns and build predictive models.
• Conduct statistical analyses to determine trends and significant data relationships.
• Keep up to date with the latest advancements in Machine Learning and Artificial Intelligence.
• Collaborate with data engineers to design and construct data pipelines for reproducible analysis.
• Utilize cloud computing technologies like Microsoft Azure and distributed computing technologies such as Apache Spark.
• Present analysis results through clear graphs, charts, tables, and other data visualizations.

Required Qualifications

• Proven industry experience in predictive modeling, data science, and analysis.
• Familiarity with Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn, and experience with cloud platforms like Azure.
• Experience handling terabyte-scale datasets, uncovering hidden patterns, and using data visualization tools.
• Proficiency in coding languages such as Python, R, Scala, and working with distributed computing technologies like Apache Spark.
• Excellent teamwork, strong communication skills, and proven collaboration in complex engineering projects.
• Completion of an undergraduate degree in a STEM field.

Preferred Qualifications

• Master's degree in STEM is preferred.