Our client is seeking a Full-Time Senior Data Scientist to support US based LNG export facility and service the global demand for North American natural gas. This Arlington-based position will support the long-term development of clean and reliable North American energy supplies.

Positioned within Arlington, VA, the role carries the ensuing responsibilities:

Primary Responsibilities:

• Engineer resolutions to business quandaries via the data science lifecycle.
• Shape and perpetuate data analytics solutions and machine learning algorithms.
• Employ predictive modeling and classification methodologies to heighten LNG production efficiency and mitigate perils related to safety and downtimes.
• Excavate and dissect data from data lakes or data warehouses to propel optimization.
• Fathom pivotal decision junctures, offering stakeholders alternative avenues to surmount business conundrums.
• Furnish data engineers with ETL requisites, streamlining the curation of files for data analytics.
• Chronicle data science algorithms to ensure manageability.
• Collaborate with IT leadership in refining the data science lifecycle, enriching the technology stack and architectural landscape.
• Blueprint data architecture to accommodate forthcoming platform expansion, encompassing data warehousing, machine learning, streaming analytics, and data visualization.
• Aid in trials, governance, data integrity, training, and documentation initiatives.

Job Qualifications:

• At least 4 years of pragmatic experience in data science and data analytics.
• A bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or a related field.
• Proficiency in cloud-based data analytics solutions, inclusive of the management, cultivation, and sustenance of machine learning solutions.
• Fundamental mastery of data manipulation languages such as SQL, Python, or Scala.
• Adeptness in crafting data science resolutions via cloud data services.
• Profound presentation finesse to aptly convey analytical outcomes to stakeholders.
• Excellent interpersonal and communicative skills, paired with astute critical discernment and scrupulous attention to detail.
• A robust work ethic, coupled with the ability to prudently prioritize, meet deadlines, adapt to evolving priorities and business requisites, and flourish in a fast-paced milieu.
• Exemplary attention to detail, expediently encapsulating and prioritizing information.

Preferred Qualifications:

• Familiarity with Azure infrastructure, particularly Azure Data Lake and Azure Data Factory.
• Prior experience harnessing Databricks for machine learning algorithm development.
• Adeptness in coding languages, predominantly Python, R, and SQL.
• Proficiency in utilizing DevOps.
• Experience in dealing with streaming datasets and IoT.

About Petroplan

Petroplan is the trusted, specialist global Talent Solutions partner of choice for employers and professionals in the Energy sector. Since 1976, Petroplan has been here to help people like you make the most of the opportunities available and find the best fit for you as an individual.

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In an industry where skilled and experienced professionals are increasingly sought after resource, we appreciate the true value of what you have to offer. What's more, we understand that different things are important to different people in today's world of work - it's about making exactly the right connections for you as an individual.

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