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Sr. Data Scientist in Fort Worth, TX at MDI Group

Date Posted: 5/8/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Job Type:
  • Experience:
    At least 10 year(s)
  • Date Posted:
    5/8/2019

Job Description


Sr. Data Scientist (Senior Business Intelligence Analyst / Developer)
Direct Hire
Fort Worth, TX

The Sr. Data Scientist is directly responsible for the research and development of data-driven models and insights that support operational decision-making at every stage of the well lifecycle. The Senior Data Scientist supports key management initiatives across all core upstream exploration & production business activities.

What You Will Be Doing:

  • Reports to Vice President - IT
  • The Sr. Data Scientist plays an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics, visualization and machine learning architectures and solutions to positively affect business outcomes
  • Builds and maintains an analytics infrastructure to be used across the business and conducts research, design, implementation, and validation of algorithms and models in order to analyze diverse data sources in order to enable desired business outcomes
  • Meet with the IT Vice President and key operations managers to develop strategic architecture initiatives in support of operational intelligence strategies
  • Produce technical documentation describing research and development topics relating to strategic BI and operational enhancement activities
  • Maintain expertise and knowledge domain around data analytics, data management, data structures, statistics, machine learning, business intelligence, and application development
  • The Senior Data Scientist is tasked with formulating new and creative ideas for leveraging the business's collection of legacy and current data. In this capacity, the Sr. Data Scientist also works with large sets of data and establishes accurate and scalable analytics systems across varied applications
  • Translates business requirements into quick prototypes and enables the development of data capabilities, frameworks, and governance processes in the department and the business at large
  • Utilizing the data lifecycle, develop dynamic functions to identify, acquire, clean and persist enterprise data to analytical data structures
  • Design and build digital proxy environments representing physical processes or machines used in hydrocarbon production. Use these environments to build models and visual representations
  • Identify operational process patterns and provide capabilities around their use in complex event processing. Provide visualization tools that represent pattern maturity in the process environment
  • Work with leadership and key stake holders in identifying and prioritizing actionable, impactful insights across a variety of core business fronts, driving informed decision-making across the business and, hence, enhancing the business's capability to achieve goals and objectives
  • Expert knowledge of SQL and MySQL, Python, software architectures and development, web and desktop applications development

Must Haves:

  • Master's degree in Statistics, Machine Learning, Mathematics, Computer Science or a related quantitative field
  • 10 years of working experience working in a data science capacity within a fast-paced and complex business setting, preferably working as a Senior Data Scientist
  • Experience working with machine learning libraries, for example, xgboost, OpenCV, sklearn, among others, as well as substantial experience working with data mining tools such as Python and R
  • Experience in data mining and predictive modeling inclusive of linear and non-Linear regression, logistic regression, and time series analysis models
  • Experience working with deep learning algorithms and large datasets
  • Experience working with unstructured data and experience cleaning and manipulating data
  • Must have software development and engineering experience, having designed and delivered applications on desktop, web and cloud-based platforms. Linux and Windows experience is required
     

A GREAT PLACE FOR GREAT PEOPLE TO WORK

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