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3coast

Sr. Data Scientist ( Oil & Gas)

Post Date:Apr 02, 2018Type:Full-Time
Start Date:4/2/2018Salary:
Location:US-TX-Houston Job Reference:SC14174-Sr. Data Scientist (O&G)
Skills:

Title: Sr. Data Scientist ( Oil & Gas)

Type:  Permanent

Job ID:  SC14174



Experience:

  •          4-year degree or equivalent experience required, advanced degree beneficial
  •          5+ years’ experience developing models for decision support and process automation
  •          Excellent understanding of machine learning techniques and algorithms such as Regression, Decision Trees, k-NN, Naïve Bayes, and Neural Networks.
  •          Experience identifying patterns in high frequency time series data.
  •          Working knowledge of common data science tools such as R, Weka, NumPy, SAS, and MatLab, with excellence in at least one.
  •          Experience using visual analytics tools required with knowledge of Tibco Spotfire a plus.
  •          Proficiency in using query languages such as SQL and Hive.
  •          Experience with NoSQL databases such as MongoDB, Cassandra, or HBase a plus.
  •          Upstream oil & gas industry experience preferred, particularly in the areas of Drilling, Completion, and Production Operations




Job Description:

Title: Sr. Data Scientist ( Oil & Gas)

Type:  Permanent

Job ID:  SC14174


Work for one of the world's leading independent oil and gas producers!  We are looking for a Sr. Data Scientist  to make an impact on the the new and evolving nature of data analytics functions and the need for someone with this background comined with oil & gas experience.

Sr. Data Scientist

Responsibilities:

  •          Work with engineers, geoscientists and management to frame open ended problems in terms of deliverables that can be generated using data science techniques.
  •          Work with subject matter experts to evaluate multiple internal and external datasets for applicability and usefulness in achieving model objectives.
  •          Work with management and user community to scope and prioritize project efforts using risk vs value criteria.
  •          Explore and examine data from a variety of angles using appropriate profiling techniques to understand the data and determine hidden weaknesses, trends, and/or opportunities.
  •          Employ appropriate visual, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
  •          Create data driven solutions that provide structure, assist in the decision making process, and facilitate automation.
  •          Devise new algorithms to solve problems and tools to automate work efforts.
  •          Appropriately evaluate and tune models to insure business objectives are achieved.
  •          Effectively communicate recommendations to stakeholders and management.
  •          Periodically evaluate existing models to insure continued effectiveness.
  •          Help champion the appropriate use of machine learning and statistical methods as an effective means to decision making and automation.
  •          Creates training materials, and delivers formal and informal training sessions to increase awareness and utilization of quantitative methods for evaluating data and decision making.
  •          Provides mentoring for those seeking to machine learning and statistical methods.
  •          Assist in the evaluation of tools for doing visual and quantitative analysis, as well as tools and techniques for deploying predictive and prescriptive solutions.
  •          Assist in identifying opportunities to improved data collection techniques.

Qualities:

  •          Excellent interpersonal and customer-facing communication skills
  •          Ability to interact with a wide range of people
  •          Excellent analytical problem solving skills
  •          Strong mentoring/training skills
  •          Must be a self-starter with ability to follow through on projects assigned
  •          Must be willing to travel within the US up to 15% of the time

Experience:

  •          4-year degree or equivalent experience required, advanced degree beneficial
  •          5+ years’ experience developing models for decision support and process automation
  •          Excellent understanding of machine learning techniques and algorithms such as Regression, Decision Trees, k-NN, Naïve Bayes, and Neural Networks.
  •          Experience identifying patterns in high frequency time series data.
  •          Working knowledge of common data science tools such as R, Weka, NumPy, SAS, and MatLab, with excellence in at least one.
  •          Experience using visual analytics tools required with knowledge of Tibco Spotfire a plus.
  •          Proficiency in using query languages such as SQL and Hive.
  •          Experience with NoSQL databases such as MongoDB, Cassandra, or HBase a plus.
  •          Upstream oil & gas industry experience preferred, particularly in the areas of Drilling, Completion, and Production Operations






Contact Information
3coast
Name: Sally Culley
Ph: 281.488.7961


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