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Data Science Specialist

3 months ago

Houston, Texas, United States G.A.S. Global Full time

Job Summary

We are currently seeking an experienced Data Scientist to join the Big Data and Advanced Analytics department. As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.

Job Description

  • Work independently on data science / ML projects for multiple business functions
  • Identify and frame the data science / ML opportunity from understanding the business problem / opportunity
  • Gather, cleanse, and transform internal and external data
  • Analyze data and deliver insights via visualizations and dashboards
  • Create, productionize, and maintain models / solutions that address business problems
  • Present, explain and defend results from analysis and modeling, and approach taken
  • Participate in strategic planning discussions around optimizations, data science and big data analytics

Skills Required

  • 5+ years of practical experience framing and solving business problems in supply chain, logistics, or operations with probability / statistics, visualization, inferential or predictive models
  • 5+ years professional experience programming production code in Python
  • Software engineering skills - best practices of software design, API design, knowledge of design patterns, version control, and production considerations such as performance, logging, maintainability, refactoring, testing and debugging
  • Hands on experience with MLOps
  • Experience building solutions in AWS is a plus
  • Ability to adapt in a rapidly changing environment
  • Ability to communicate insights and approaches in a simple, actionable manner
  • Ability to work independently and with team members from different backgrounds
  • Excellent attention to detail and problem-solving skills

Education/Training/Certifications

  • Educational background in Statistics, Applied Mathematics, or scientific field is a plus

We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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