Data Scientist

Location: Houston, TX, United States
Date Posted: 11-28-2018
Responsibilities:
  • Will contribute to the team by applying Cyber Security Data Analytics to some of the more complex problems using latest Machine Learning and AI technologies and methodologies.
  • Builds and maintains strong working relationships with business partners; meeting regularly to understand their business problems and potential analytic needs for solving those problems.
  • Frames business problems, identify alternatives, and collaborate on solutions with other business analysts, architects, and stakeholders. May include other activities as required, such as development, training, etc.
  • Applies data science and analytic techniques including creating and building algorithms, queries, etc.
  • Have working knowledge of tools and concepts in the Hadoop ecosystem.
  • Experience working with Splunk within Data Science.
  • Identifies and frames opportunities to apply advanced analytics, modeling, and related technologies to data, in order to help the business gain insight and improve decision-making, workflow, and automation.
  • Leverages statistical and data science methodologies to perform regressions, predictive models, distributions, etc
  • Transforms, filters, formats, extracts data using technologies such as SQL and OLAP.
  • Cleans data, developing models, and testing models.
  • Establishes life cycle management process for models.
  • Visualizes data in a meaningful way that allows the business to quickly draw conclusions and make decisions.
  • Build and support solutions which leverage a variety of technologies
Required Qualifications:
  • Bachelor s degree in Mathematics, Statistics, Analytics, Engineering, Computer Science, or related field
  • Minimum of 5 years of directly related experience.
  • Demonstrated depth in advanced analytics technologies (e. g., data science, operations research, statistics, data mining).
  • Experience implementing advanced analytics projects.
  • Proficiency in R, Python, or similar tools.
  • Understanding of database design and ability to read and write basic to intermediate SQL.
  • Experience in and working knowledge of Oil & Gas industry.
  • Ability to learn and understand business workflows and value drivers; then apply technical design and solutions to meet business needs.
  • Proven ability to effectively collaborate within the team, across teams, and with business users.
  • Ability to engage business and technical experts at all organizational levels and assess opportunities to apply data science and analytics.
  • Ability to communicate in a clear, concise, and understandable manner both orally and in writing.
  • Ability to listen carefully and asks questions to understand the views, concerns, and comments of others.
 
Preferred Qualifications:
  • M. S./PhD in technical disciplines preferred
  • Deep knowledge of at least one petroleum functional discipline (e. g. Geology &Geophysics, Facilities Engineering, Petroleum Engineering, etc.) and understanding of how these areas can benefit from application of artificial intelligence and high performance computing.
  • Understanding of advanced methodologies like DeepLearning is desirable.
  • Familiarity with high performance computing, storage and networking
  • Fluency with a range of numerical methods: e. g. solvers, simulation modeling methods (e. g. ensemble kalman filter, etc.), Genetic Algorithms, multi variate regression, Regularization Techniques, Boosting, Random Forests, SVM, convolution and deconvolution, inverse problems, wavelet/fourier/laplace transforms, Weibull Distribution, etc.
  • Demonstrated experience in evaluating technologies and developing solutions that address current and future business capability needs.
  • Innovative creative thinker capable of envisioning the future, mapping out a plan and executing the plan to generate business value.
  • Broad working knowledge of technologies including modeling, data analytics and IT infrastructure technologies.
  • Ability to operate in a multi-functional team providing expertise and technical acumen in a wide variety of technologies, provide assistance and guidance through influence to groups outside of the team, and collaborate across different cultures and time zones if necessary.
  • Leadership abilities considered a plus.
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