Job Description
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry
About Us: We are a dynamic team dedicated to pushing the boundaries of technology. Join us to work on innovative projects and make a significant impact on our operations. We are seeking a highly skilled Timeseries Modeling Specialist to join our team. The ideal candidate will focus on developing timeseries models for fracturing applications, leveraging advanced AI and ML algorithms. This role requires expertise in transformer models, deep learning, LSTM, survival models, autoencoders, autoregression, and other cutting-edge techniques.
Responsibilities: - Develop and implement timeseries models for fracturing applications
- Utilize advanced AI and ML algorithms, including transformer models, deep learning, LSTM, survival models, autoencoders, autoregression, and more
- Collaborate with cross-functional teams to integrate models into production systems
- Analyze and interpret complex data sets to derive actionable insights
- Optimize model performance and ensure scalability
- Work with Azure cloud services and Databricks for data processing and model deployment
- Utilize Apache Spark for large-scale data processing.
Qualifications: - Proven experience in timeseries modeling and fracturing applications
- Expertise in advanced AI and ML algorithms such as transformer models, deep learning, LSTM, survival models, autoencoders, autoregression, etc
- Proficiency in neural network packages like TensorFlow, PyTorch, Keras, etc
- Proficiency in cloud services, specifically Azure
- Experience with Databricks and Apache Spark for data processing
- Strong programming skills in Python, Java, or similar languages
- Excellent problem-solving and analytical skills
- Ability to work collaboratively in a team environment
- Strong communication skills to convey complex technical concepts to non-technical stakeholders
Preferred Qualifications: - Experience with deep learning timeseries modeling using generative AI algorithms
- Familiarity with big data platforms and tools
- Knowledge of data visualization tools such as Power BI
Education: - Master's degree or higher in Computer Science, Data Science, Engineering, Physics, or a related field
- Physicists with strong data expertise are also acceptable
- Skills typically acquired through the completion of an undergraduate degree in Science, Engineering or similar discipline, and 4 years of related experience. Completion of a masters or PHD in Science or Engineering is preferred
Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher-level roles given (1) their experience, (2) additional job requirement, and/or (3) buesinss needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from Senior Scientist Physics, Principal Scientist Physics up to the Advisor Scientist Physics
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 3000 N. Sam Houston Parkway E., Houston, Texas, 77032, United States
Job Details Requisition Number: 197719
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: [[division]]
Full Time / Part Time: Full Time
Additional Locations for this position:
Job Tags
Full time, Part time, Second job,