Data Scientist
Job Type: Full-time, with benefits
Location: Houston, TX
About the Role:
We are currently looking for a highly skilled and motivated Data Scientist 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 ideal candidate will have a strong background in data science, machine learning, and a passion for solving complex problems in the oil and gas industry. The candidate should possess a strong background in Python and a proven track record in model deployment. 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 ML 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 degree in Computer Science or Information Systems preferred
- Excellent team leadership/project management skills
- Strong analytical abilities
- Bachelor's or advanced degree in Computer Science, Data Science, or related field.
- 5-10 years of relevant work experience in Python and data analysis.
- Proven experience in model deployment.
- Familiarity with Airflow and Kube KUB.
- 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 strong Python background and a passion for developing and deploying machine learning models in production, we encourage you to apply for this exciting opportunity.
About CODE Staffing
CODE Staffing exists to provide top of the line technical contingent staff to key clients that we partner with strategically to enable their business. We do this by providing a great environment for our employees, so that we minimize churn for our clients. Our rigorous focus on training and regular meetings with client’s executives ensure that we understand their technological road map and guarantees that we provide the best people for their needs.
Our people are our most valuable asset. That's why we're committed to attracting, retaining, and developing the best talent in the industry.
As a funded startup, working for CODE Staffing in this position will not only give you experience and exposure to one of the largest oil and gas companies in the United States, you’ll have the opportunity to be in at the ground floor of an exciting, forward-thinking organization. We are committed to growing the skills and career paths of our people, and would love the opportunity to have you join our team. We also have great benefits- check out our website for more details: CODE Staffing