Data Scientist – Analytics, Tulsa, Oklahoma

Data Scientist – Analytics

Computers/Software Tulsa, Oklahoma



6120 South Yale Ave, Suite 1300 Tulsa, OK 74136         Main (918) 496-8500               Fax (918) 496-8615 

Data Scientist –Analytics

About eLynx Technologies:

eLynx Technologies is the leading provider of web-based monitoring and field automation services to the oil and gas industry.

In this fast-paced work environment, candidates must be passionate about helping customers, have strong trouble-shooting skills, excellent verbal and written communication skills, be organized, work well in a team as well as independently, demonstrate the ability to learn quickly and be able to manage, prioritize and delegate multiple priorities.

We are looking for a sharp, disciplined, and highly quantitative individual who has a passion for creating fast and efficient algorithms in the area of data analysis and machine learning. We are building a unique technology platform dedicated to the real-time discovery and manipulation of data; this is your chance to be a critical part of our analytics team.

Reports To:

Director of Analytics


  • Work with a team of data engineers, developers and domain experts from different functional areas to solve problems
  • Create analytics algorithms using statistics and machine learning, advanced computing, probabilistic modeling and visualization.
  • Build mathematical models and automated machine learning tools to analyze and optimize all aspects of our Azure-based SCADALynxsystem, providing insights in real time.
  • Collaborate with data scientists, data engineers and domain experts on data selection, preprocessing and formatting for analysis. You will also have the opportunity to help implement product-related tools, features and/or designs;
  • Success is measured in customer satisfaction, monetizing our services, customer retention, product usage and adoption
  • Help the organization shape new product directions as well as implement product vision within the context of the next generation of product architecture, while keeping data science/analytics at the forefront
  • Establish and implement end-to-end proof of concept for data analyses
  • Create innovative methodologies for extracting value from client data
  • Establish strategic partnerships with technical leadership across functional areas
  • Present to senior leadership as well as external audiences
  • Demonstrates the ability to create new and different solutions that align to real-world problems and opportunities

Requirements for the Position:

  • Proficiency in data analysis languages including Python, R, and SQL (extensive Python experience strongly preferred)
  • 3-5 years hands-on experience in machine learning, statistics or experiment design
  • Master’s Degree required and PhD strongly preferred in Computer Science, Statistics, Physics or a related field with focus on data analysis, preferably from a top-tier institution
  • Expertise in machine learning, statistics, data analysis, and software development. Must have an excellent knowledge of advanced methods, and experience in applying those methods to a variety of applications
  • Solid grasp of probability, statistical or mathematical modeling with analytical and quantitative problem-solving ability. Experience with time-series analysis strongly preferred
  • Strong sense of teamwork, and a willingness to help others
  • Ability to effectively communicate technical concepts to both technical and non-technical staff members
  • Demonstrated experience in applying machine learning to real-world problems
  • Solid understanding of software development cycles, work with source control systems (including Git), databases, web servers, Microsoft and Linux platforms
  • Good interpersonal, presentation and communication skills
  • Self-motivated and self-directed, able to learn new technologies quickly and adapt to a rapidly changing environment

Desired Skills for the Position:

  • Experience with Jupyter notebooks
  • Experience with Linux container technologies, including Docker and Kubernetes
  • Experience working in a collaborative data science team-based environment, and familiarity with Microsoft’s Team Data Science Process (TDSP)
  • Knowledge of Microsoft Azure platform, including Azure Machine Learning, Azure Data Lake, Streaming Analytics and HDInsight, highly desired
  • Experience with big data and distributed computing technologies such as Apache Hadoop, Apache Spark, Hive, and Pig highly desire
  • Knowledge of petroleum and process verticals, production automation, field automation and/or telemetry along with business, finance, economics would be a plus
  • Knowledge of software systems, design principles, architecture guidelines, and general functioning of middleware & messaging systems along with Service Oriented Architecture (SOA) are advantageous
  • Knowledge of Agile & SCRUM Software Methodology and Full software development lifecycle (SDLC) experience 


  • Candidates must be able to successfully pass a pre-employment background check and drug screen
  • Candidates must be able to work for any US employer without requiring sponsorship 

Desired additional experience/skills

  • Excellent communication skills
  • Experience in a professional services environment with exposure to senior functional leaders
  • Experience in Oil & Gas or other industrial-related data analytics field preferred, and highly desired 


Negotiable based upon experience

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Our passion is oil and gas. Our calling is analytics.
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