Data Scientist I
El Dorado, AR · On-site
... data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large ...
Data Scientist I
El Dorado, AR · On-site
... data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large ...
Data Science Intern information
See Stephens, AR salary details
$10.84 - $13.30
7% of jobs
$15.73 is the 25th percentile. Wages below this are outliers.
$13.30 - $15.77
18% of jobs
$15.77 - $18.23
22% of jobs
The median wage is $18.62 / hr.
$18.23 - $20.69
17% of jobs
$22.18 is the 75th percentile. Wages above this are outliers.
$20.69 - $23.16
18% of jobs
$23.16 - $25.62
8% of jobs
$25.62 - $28.09
5% of jobs
$28.09 - $30.55
1% of jobs
$30.55 - $33.01
0% of jobs
$33.01 - $35.48
2% of jobs
$35.48 - $37.94
1% of jobs
$10
$20
$37
How much do data science intern jobs pay per hour?
As of Aug 4, 2026, the average hourly pay for data science intern in Stephens, AR is $20.30, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $22.12 per hour, depending on experience, location, and employer.
What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?
As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.
What does a data science intern do?
A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.
What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?
To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What cities near Stephens, AR are hiring for Data Science Intern jobs? Cities near Stephens, AR with the most Data Science Intern job openings:
Murphy USA rating
4.2
Based on 256 frontline employees who took The Breakroom Quiz
41st of 46 rated convenience stores
Job description
GENERAL DESCRIPTION OF POSITION
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
This role will facilitate the end-to-end development, testing, and monitoring of analytical models across our brands. The Data Scientist will use machine learning and algorithms in an effort to improve data quality and generate insights from the data. The role will be very hands-on and focused in AI/ML model development. This scientist will attend daily standups and work in an Agile environment.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Design and develop algorithms and models to use against large datasets to create business insights
- Participate in analytical projects as a data science/technical lead
- May work independently in a solution environment
- Aid in the appropriate selection, utilization and interpretation of advanced analytical methodologies
- Execute tasks with high levels of efficiency and quality
- Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners including preparing reports, updates and/or presentations related to progress made on a project or solution
- Work with project teams and business partners to determine project goals and deliver productionized models and tools using Agile (including data processing, scripting, modeling, measurement, error handling, and documentation)
- Present recommendations in a confident manner in order to influence execution of recommendation
- Incorporate business knowledge into solution approachIdentify relevant data sources to mine given target outcomes
- Collect large structured and unstructured datasets and variables
- Analyze data for trends and patterns, and interpret data with a clear objective in mind
- Effectively develop trust and collaboration with internal customers and cross-functional teams
- Work with project teams and business partners to determine project goals
- Participate in the continuous improvement of analytics by developing replicable solutions (e.g., codified data products, project documentation, flowcharts) to ensure solutions are leveraged for future projects
- Utilizing statistical techniques to identify key insights that help solve business problems including mastery in predictive modeling, data mining and data analysis
- Perform any other related duties as required or assigned.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND EXPERIENCE
Bachelor's degree in a quantitative field like Computer Science, Statistics, Engineering, Science, or Mathematics. 1 to 3 years of related experience in data mining and analytics, database structure and ETL, predictive modeling, machine learning, and statistical programming languages.
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
This role will facilitate the end-to-end development, testing, and monitoring of analytical models across our brands. The Data Scientist will use machine learning and algorithms in an effort to improve data quality and generate insights from the data. The role will be very hands-on and focused in AI/ML model development. This scientist will attend daily standups and work in an Agile environment.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Design and develop algorithms and models to use against large datasets to create business insights
- Participate in analytical projects as a data science/technical lead
- May work independently in a solution environment
- Aid in the appropriate selection, utilization and interpretation of advanced analytical methodologies
- Execute tasks with high levels of efficiency and quality
- Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners including preparing reports, updates and/or presentations related to progress made on a project or solution
- Work with project teams and business partners to determine project goals and deliver productionized models and tools using Agile (including data processing, scripting, modeling, measurement, error handling, and documentation)
- Present recommendations in a confident manner in order to influence execution of recommendation
- Incorporate business knowledge into solution approachIdentify relevant data sources to mine given target outcomes
- Collect large structured and unstructured datasets and variables
- Analyze data for trends and patterns, and interpret data with a clear objective in mind
- Effectively develop trust and collaboration with internal customers and cross-functional teams
- Work with project teams and business partners to determine project goals
- Participate in the continuous improvement of analytics by developing replicable solutions (e.g., codified data products, project documentation, flowcharts) to ensure solutions are leveraged for future projects
- Utilizing statistical techniques to identify key insights that help solve business problems including mastery in predictive modeling, data mining and data analysis
- Perform any other related duties as required or assigned.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND EXPERIENCE
Bachelor's degree in a quantitative field like Computer Science, Statistics, Engineering, Science, or Mathematics. 1 to 3 years of related experience in data mining and analytics, database structure and ETL, predictive modeling, machine learning, and statistical programming languages.
What Murphy USA employees say
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Benefits
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About Murphy USA
Sourced by ZipRecruiter
Industry
Retail
Company size
10,000+ Employees
Headquarters location
El Dorado, AR, US
Year founded
1996