Job Openings

Senior Data Scientist

Houston, TX -

Posted: 03/18/2020 Employment Type: Direct Hire Function: Information Technology (IT) Job Number: 19691 Pay Rate: $100,000-$125,000

Job Description

Seeking a Data Scientist/Condition Based Monitoring Engineer

Location: Houston, TX  

Salary: $100,000-$125,000


*Client will relocate candidate if necessary*


Reporting to the Director of R&D, the Data Scientist / Condition Based Monitoring Engineer will determine sensor deployment to increase the uptime of completions equipment for our customers. Use data mining, machine learning and other tools to design and develop recommendation engines, predictive models, scoring algorithms and other data products which drive user segmentation, engagement, retention, monetization to support our customers.


  • Perform process and controls analysis using Failure Mode and Criticality Effects Analysis and other applicable methods
  • Research and develop cutting edge analytics projects from concept to market
  • Perform calculations for energy analysis, fluid flow, velocity, and others as required
  • Design simulation and test methods to prove system designs
  • Design and build analytical models, including diagnostic, descriptive, prescriptive, and predictive analytics for equipment operating in the field
  • Determine opportunities and needs around the use of machine and deep learning for help in prescriptive and predictive analytics, automation, and model training
  • Work with technology team to design scalable models and deploy models into the real-world
  • Discover, clean, and transform data as needed
  • Perform advanced statistical analyses
  • Coordinate with engineering teams and work alongside engineering teams as a trusted partner
  • Specify control components such as valve actuators for mobile equipment
  • Select and size instrument and sensors equipment
  • Work closely across internal departments providing value added solutions for our customers
  • Work closely with third-party vendors while building prototypes for testing
  • Other tasks as required


  • Masters Degree in Computer Science, Engineering, Statistics or other related area of study
  • Strongly preferred - PhD in Computer Science, Engineering, Statistics or other related area of study
  • 8+ years' experience preferred
  • Strong quantitative background with applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Familiarity with predictive modeling, machine learning, and data mining techniques and algorithms
  • Strong analytical, organizational, and problem-solving skills
  • Strong interpersonal, presentation, and communication skills, both verbal and written along with an understanding of how to present results such that they are meaningful across multiple levels of management
  • Experience working with formal project management methodologies is preferred
  • Experience with common data science toolkits, such as Python, R, MatLab, etc. Excellence in at least one of these is expected
  • Data visualization tools, such as GGplot, Tableau, D3.js is preferred
  • Scripting language experience, such as Java, Perl, PHP, or Python is preferred
  • Proficiency with SQL
  • Hadoop/Hive/Pig/Spark is a plus
  • ETL workflows and scheduling is a plus

***Due to the high volume of applications we typically receive, we regret that we are not able to personally respond to all applications. However, if you are invited to take the next step in the process, you will typically be contacted within a few weeks of submitting your application. ***

Meet Your Recruiter

Jake Briolat

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