Data Scientist role with Python, Airflow, and ML Ops. Perm position located onsite in Houston, Texas. Oil/Gas experience required.

Compensation range is $120K to $140K max with a benefits package.

About the Role:

We are currently looking for a highly skilled and motivated Data Scientis t to join our team and collaborate with one of our Fortune 200 oil and gas clients in Houston, TX. As a Data Scientist, your primary responsibilities will be to develop and implement predictive models using statistical and machine learning techniques to address specific business problems for our client. The preferred candidate will possess a robust foundation in data science, machine learning, and a keen interest in tackling intricate challenges within the oil and gas sector. However, we are also open to considering recent graduates who demonstrate the potential and eagerness to acquire the requisite skill set. A data science background and relevant education will also be highly advantageous for this role.

This position requires the candidate to be on-site at our client's office in Houston, TX.

Responsibilities:

• Develop and implement predictive models using statistical and machine learning techniques.
• Analyze large, complex datasets from various sources, including drilling logs, seismic data, and production data.
• Collaborate with cross-functional teams to develop and deploy machine learning models in production.
• Utilize Python to clean, manipulate, and analyze complex datasets.
• Develop and maintain data pipelines using Airflow and Kube KUB.
• Develop and maintain model deployment pipelines using Machine Learning Ops.
• Continuously monitor and improve the performance of deployed models.
• Creating reports and presentations for technical and non-technical audiences.
• Keep up-to-date with the latest developments in machine learning and data science to identify opportunities to apply new techniques to solve business problems.

Requirements:

• Bachelor's or advanced degree in Computer Science, Data Science, or related field (recent graduates welcome).
• Excellent team leadership/project management skills
• Strong analytical abilities
• Proven experience in model deployment.
• Familiarity with Airflow and Kube KUB is preferred.
• Strong knowledge of machine learning techniques and tools.
• Experience with ML Ops is a huge plus.
• Familiarity with the Oil & Gas industry is a plus
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.

If you are an experienced Data Scientist with a Python background and a passion for developing and deploying machine learning models in production, we encourage you to apply for this exciting opportunity.

Tags: oil/gas, ML Ops, Python, Kube, Airflow, Airflow, Airflow, oil, gas, petroleum