Data Analyst, Entry Level

Torentify

United StatesFresher47m agovia LinkedIn

About the Role

Torentify is seeking a Data Analyst – Entry Level (Remote) to support data engineering, statistical analysis, predictive modeling, and machine learning initiatives. The role supports work in the global energy industry, focusing on data science, machine learning, and advanced analytics.

Key Responsibilities

  • Perform data engineering, data modeling, and model deployment under general supervision.
  • Analyze large, complex datasets, including time-series, structured, and unstructured data, from various sources to identify actionable insights.
  • Use open-source machine learning and deep learning packages to identify data patterns and develop predictive models.
  • Conduct statistical analyses to identify trends and significant relationships within datasets.
  • Stay informed about developments in machine learning and artificial intelligence.
  • Collaborate with data engineers to design and build data pipelines that support reproducible analysis.
  • Use Microsoft Azure and distributed computing technologies such as Apache Spark to process and analyze data.
  • Present analytical findings through graphs, charts, tables, and other data visualizations.
  • Work collaboratively on complex engineering projects and communicate analytical results clearly.

Requirements & Tech Stack

  • Industry experience in predictive modeling, data science, and data analysis.
  • Knowledge of machine learning frameworks and packages, including Keras, TensorFlow, and Scikit-learn.
  • Knowledge of cloud computing platforms, including Microsoft Azure.
  • Experience handling terabyte-scale datasets and identifying patterns within complex data.
  • Experience using data visualization tools to communicate analytical findings.
  • Programming experience with Python, R, and Scala.
  • Experience with distributed computing technologies such as Apache Spark.
  • Strong communication and teamwork skills.
  • An undergraduate degree in a science, technology, engineering, or mathematics (STEM) field.
  • Authorization to work in the United States as a U.S. citizen or permanent resident.

Qualifications

  • A master’s degree in a STEM field is preferred.
  • Qualifications and experience beyond the minimum requirements may support consideration for higher-level positions.

Location and Work Arrangement

  • Work arrangement: Remote.
  • Industry: Global energy.
  • Visa sponsorship: Not available. Candidates must be U.S. citizens or permanent residents authorized to work in the United States.

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