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Our E&P Approach
In every aspect of our operations, we strive to optimize capital efficiency, so we can develop more assets, provide more jobs and bring more energy to the world to positively impact more lives. We continually refine our portfolio of holdings, acquiring acreage with high oil cuts and divesting lower-margin assets. We seek to create efficiencies in our approaches to drilling, completions, crews, materials, transport, and all other facets of our business. In the end, Vital Energy produces something beyond oil and gas. We create value for our stakeholders, and for every human empowered by the energy we help to bring forth.
High productivity, every acre
Vital Energy acquires and develops oil and gas resources in the largest and most productive hydrocarbon region in the world, the Permian Basin. We focus on this thriving area because it best meets our goal to make energy plentiful and accessible to humanity, responsibly, over the long term. While our current holdings are fully within the Permian, our acquisition and development strategy considers all high-margin assets that can help sustain our business and fuel our purpose.
Better decisions through digital
Vital Energy embraces digital transformation like no other company in our space. We believe the potential for profound progress in our industry is limitless. This is our mindset. And it has spurred us to make several high-impact advancements. A few highlights include:
This is just the beginning. We see immense opportunities to harness the power of data to drive efficiency, improve decision-making, so we can produce more energy in better ways to sustainably power our planet.
Company: Vital Energy, a forward-focused digital upstream oil and gas enterprise.
About Vital Energy:
Based in Tulsa, OK, Vital Energy stands as a paragon of innovation within the upstream oil and gas sector. As a nexus between state-of-the-art technology and energy resource management, we have transformed the paradigm of operational efficacy through our innovative approaches. Not just a name, but a movement within the industry, Vital Energy epitomizes cutting-edge innovation, setting standards, and leading the charge with solutions that chart the future.
Why Choose Vital Energy?
Role Description:
As an entry-level Data Scientist I at our oil and gas company, you will play a crucial role in supporting our data-driven decision-making processes. Your main responsibilities will include collecting, analyzing, and interpreting large complex datasets, developing predictive models and algorithms, and presenting insights to key stakeholders. You will collaborate with cross-functional teams to extract actionable information from vast amounts of structured and unstructured data, contributing to optimizing operational efficiency, identifying new business opportunities, and mitigating risks. By applying your expertise in statistical analysis, programming, and data visualization, you will contribute to improving our company's performance and advancing our technology-driven initiatives.
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.
Technical Qualifications:
Key Responsibilities:
COMPENSATION:
Salary is commensurate with experience.
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 performance of normal job duties.
PHYSICAL DEMANDS:
Work normally requires finger dexterity and eye-hand coordination to operate computer keyboard at 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.
Full Time
Ancillary Healthcare
$85k-104k (estimate)
09/23/2023
06/01/2024
The job skills required for Data Scientist I include Analysis, Data Science, Machine Learning, Python, Insight, Algorithms, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist I. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist I. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist I positions, which can be used as a reference in future career path planning. As a Data Scientist I, it can be promoted into senior positions as a Data Scientist II that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist I. You can explore the career advancement for a Data Scientist I below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.