• Data Scientist

    Job Locations US-TX-Sugar Land
    Internal Title
    Engineer II FFS
    Requisition ID
    # of Openings
  • Company Bio


    Kiefner and Associates, Inc., an Applus RTD company, is a well-established engineering consultancy with headquarters in Columbus, Ohio. Kiefner provides the oil & gas industry with safety and reliability services.

    We offer a broad range of consulting services including fitness for service, failure analysis and material testing, stress analysis, inline inspection qualification, and training workshops.


    Position Purpose

    • Responsibility of the Data Scientist Engineer is to conduct data analytics for midstream oil & gas projects, performing statistical and probabilistic modeling, optimization, data scrubbing, standardization, and validation.


    Duties and Responsibilities

    • Perform statistical analysis, probabilistic analysis (such as Monte Carlo simulation), reliability analysis, data analytics, and data classification analysis; with a particular focus on pipelines and facilities.
    • Initiate, execute, and close out projects within time and budget for fitness-for-service, reliability, failure investigation & assessment, mechanical integrity, integrity management, regulatory compliance.
    • Work as a team member or independently per requirements set by project manager.
    • Prepare proposals and research ideas.
    • Prepare technical reports and presentations.
    • Initiating projects, monitoring of budgets, and tracking of invoices.
    • Travel to client sites as required, to support project execution.
    • Represent company at industry conferences and committees as and when required.
    • Perform other duties as assigned.

    Supervisory Responsibilities

    • N/A

    Knowledge and Skills

    • Knowledge of Title 49 of the Code of Federal Regulations, Parts 192 and 195.
    • Knowledge pipeline industry codes and standards such ASME B31.3, ASME B31.4, ASME B31.8, ASME B31.8S, API 579, API 574, API 580/581, and BS 7910.
    • Understanding of pipeline integrity and issues that affect pipeline serviceability.
    • Familiarity with RBI and RAMS.
    • Familiarity with and experience in use of engineering and numerical analysis software packages (MathCad, Matlab, VBA, @Risk, DataMiner, and such like).
    • Familiarity with statistical methodologies and their practical application in engineering.
    • Expertise in performing and developing tools for data analytics and data classification.
    • Ability to work on several assignments and projects.
    • Ability to communicate effectively, both verbally and in writing.
    • Ability to lead, work, and cooperate in a team environment.
    • Advanced knowledge of MS Office Suite of products.
    • Firmly adhere to the values and ethics of Kiefner. Exhibit honesty, discretion, and sound judgment.

    Education and Work Experience

    • Bachelor of Science in Mechanical, Chemical, Civil or Metallurgical engineering or other science discipline.
    • 3+ years of engineering experience.
    • Masters of Science of PhD in Mechanical, Chemical, Material, or Electrical Engineering desirable.
    • Experience of numerical analysis with strong emphasis on complex finite element modeling.
    • Knowledge of, and applied experience in, pipeline failure modes and fatigue.
    • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

    Certificates and Licenses Required

    • A P.E. license or the ability to obtain one in 2 years is a plus.

    Physical Activities and Requirements

    • The ability to listen to and understand information and ideas presented through spoken words and sentences.
    • The ability to communicate information and ideas through speech so others will understand.
    • The ability to read and understand information and ideas presented in writing.
    • The ability to choose the right mathematical methods or formulas to solve a problem.
    • The ability to see details at close range (within a few feet of the observer).
    • The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem.
    • The ability to add, subtract, multiply, or divide quickly and correctly.
    • Sitting: Remain sitting, particularly for sustained periods of time.
    • Repetitive motions: Making substantial movements (motions) of the wrists, hands, and/or fingers.
    • Dexterity: Picking, pinching, typing or otherwise working, primarily with fingers rather than with whole hand or arm as in handling
    • Talking: Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly.
    • Walking: Moving about on foot to accomplish tasks, particularly for long distances or moving from one work area to another.
    • Hearing: Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound.
    • Sedentary work: Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.
    • The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading at distances close to the eyes.
    • In compliance with American with Disabilities Act (ADA), Applus+ will make reasonable accommodations that are appropriate and consistent within our legal obligations.

    Working Conditions

    • The physical environment requires the employee to work inside an office environment, protected from weather conditions but not necessarily from temperature changes.
    • Occasional visits to field sites will require employee to work both inside and outside in heat/cold, wet/humid, and dry/arid conditions in temperature extremes and inclement weather.
    • Frequently required to use personal protective equipment to prevent exposure to hazardous materials and working environments.
    • The noise level in the work environment is usually quiet to moderate.
    • bility to travel when required, nationally, up to 15% of the time.


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