Entry-Level Data Scientist I

Join Vital Energy as an Entry-Level Data Scientist I

Vital Energy, a forward-focused digital upstream oil and gas enterprise, is seeking an enthusiastic and skilled Entry-Level Data Scientist I to join our team in Tulsa, Oklahoma. As a Data Scientist at Vital Energy, you will be at the forefront of our data-driven decision-making processes, playing a crucial role in optimizing our operations and driving innovation within the oil and gas industry.

Key Responsibilities

Data Collection and Preprocessing: Collect, clean, and preprocess data from various sources, including sensors, logs, and databases.
Model Development: Build and implement machine learning models to predict and optimize key performance indicators related to oil and gas operations, such as production efficiency, equipment maintenance, and resource allocation.
Data Visualization: Create clear and insightful data visualizations and dashboards to communicate findings and insights to non-technical stakeholders.
Collaboration: Work collaboratively with cross-functional teams, including engineers, geologists, and business analysts, to identify opportunities for data-driven improvements in operational processes.
Innovation and Learning: Stay up-to-date with industry trends and advancements in data science and leverage this knowledge to drive innovation within the organization.
Documentation: Maintain thorough documentation of data sources, methodologies, and model development to ensure transparency and reproducibility.
Process Improvement: Actively seek opportunities to enhance the efficiency and effectiveness of data analysis processes.

Technical Qualifications

Education: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Programming Skills: Proficiency in Python or R for data analysis and machine learning.
Machine Learning: Basic understanding of machine learning algorithms and statistical analysis techniques.
Data Manipulation: Proficiency in data manipulation libraries such as pandas and NumPy.
Problem-Solving: Strong problem-solving skills with attention to detail.
Communication: Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
Team Collaboration: Ability to work collaboratively in a team-oriented environment.
Adaptability: Eagerness to learn and adapt to new challenges in a rapidly evolving field.
Big Data: Familiarity with big data technologies, especially within the AWS ecosystem.
Data Extraction: Experience with data extraction and transformation from unstructured sources.
Cloud Computing: Knowledge of cloud computing platforms, specifically AWS, including AWS Lambda, S3, Glue, and SageMaker.
Geospatial Data: Understanding of geospatial data analysis techniques.

Why Join Vital Energy?

At Vital Energy, you will be more than just a Data Scientist. You'll be at the heart of a team shaping the future of the oil and gas industry. Step into our world in Tulsa, and together, let's revolutionize the energy landscape. We offer a hybrid work environment, opportunities for professional growth, and exposure to cutting-edge technology.

Working Conditions

Work is normally performed in a climate-controlled environment, where exposure to conditions of extreme heat/cold, poor ventilation, fumes, and gases is very limited. Noise level is moderate and includes sounds of a normal office environment. No environmental hazards are encountered in the performance of normal job duties.

Physical Demands

Work normally requires finger dexterity and eye-hand coordination to operate a computer keyboard at a moderate skill level. Work may require occasional pushing, pulling, or carrying 20-pound objects such as files, documents, boxes, etc. Work involves sitting most of the time, but may involve standing and walking for brief periods. Travel is occasionally required.

Join us at Vital Energy and be part of a team that is not just producing oil and gas but creating value for stakeholders and empowering humanity with energy.