About this role
Apply principles of data science to analyze multi-structured data sets in order to provide new understandings of complex production and operating environments and development/implementation of an analytics frameworks/process roadmap. Leverage expertise in the application of machine learning techniques and analyze data to identify trends and support the development of operations-related analysis, including cluster analysis, Bayesian analysis, discriminant analysis, support vector machines, and other modes of machine learning.
Key Responsibilities:
• Work with a variety of software platforms to build and apply mathematical and statistical models that address multi-dimensional issues that have technical, organizational, and operational implications.
• Contribute to the development of new ideas and concepts and assist with the translation of these ideas into executable action plans, communicating said plans to a diverse client base across the public and private sectors.
• Work with cross-functional teams to engage clients, understand client’s challenges and issues, and develop strategic analytical products.
• Work across the entire development life cycle from requirements gathering, process and systems analysis and definition, and development of business and systems architecture, serve in a project leadership role or grow into project leadership responsibilities, and work collaboratively with cross functional teams.
Company:
Oxy
Qualifications:
Basic
• 5+ years of experience with oil & gas exploration and recovery processes, including drilling, completions, hydraulic fracturing, well logging, and production.
• 5+ years of experience with applying machine learning techniques to large, complex, and disparate data sources.
• Experience with data mining, machine learning, and statistical modeling.-Experience with various multivariate statistical methods, including clustering, Bayesian networks, neural networks, and graphical models.
• Experience with R or Python for analysis of data.
• Ability to cross-educate teams by deconstructing analysis, showing the process used to analyze data and how you arrived at a determined plan of action and recommendations, and offering training on specific tools.
• BA or BS degree.
Behavioral
• Effective team player who takes an active role in team responsibilities
• Strong time management skills.
• Ability to work with minimum of supervision.
• Strong verbal and written communication skills.
• Ability to multi-task many activities at the same time
Advanced Experience Profile
• Experience with data visualization and commonly used tools, including Tibco Spotfire, D3, or Tableau.
• Experience with appropriate use of requisite analytics platforms (Python, R, etc.)
• Possession of excellent oral and written communication skills.
• MA or MS degree in a quantitative field preferred; PhD degree in a quantitative field a plus.
Specific requirements:
• Must have legal authorization to work in the US on a fulltime basis.
Educational level:
Bachelor’s Degree
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying
https://oxy.taleo.net/careersection/2/jobdetail.ftl?job=00013332&src=CWS-10006