State of Arkansas - Jonesboro, AR
posted 4 months ago
About the position
The Data Scientist Intern position offers a unique opportunity for students who are eager to gain practical experience while pursuing their degree. This role is designed for individuals who are passionate about data analysis and statistical modeling. As an intern, you will be responsible for uncovering insights through thorough data analysis, ensuring that statistical models perform effectively, and managing data flows. You will also have the chance to conduct experiments with various technologies and develop innovative proof-of-concepts that showcase potential advancements in data science and analytics. In this position, you will work within a structured timeline, and your success will be measured by your ability to deliver high-quality solutions that not only drive business decisions but also integrate seamlessly with existing systems. This hands-on experience is invaluable and will prepare you for a successful career in the data science industry. You will be part of a small team and will collaborate on projects executed by the AIDA (AI, Data & Analytics) group, providing you with exposure to real-world applications of data science. The internship is structured to require a commitment of 20 hours per week, with a minimum of 4 hours per shift. The working hours are flexible within the range of Monday through Friday, between 7 AM and 5 PM, allowing you to balance your academic responsibilities with your internship duties.
Responsibilities
- Uncover insights through data analysis.
- Ensure effective performance of statistical models.
- Manage data flows and conduct experiments with technology.
- Develop innovative proof-of-concepts to showcase potential advancements.
- Deliver high-quality solutions that drive business decisions.
- Integrate solutions seamlessly with existing systems.
Requirements
- Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field.
- Basic understanding of data analysis and statistical modeling techniques.
- Familiarity with programming languages such as Python or R.
- Ability to work collaboratively in a team environment.
- Strong problem-solving skills and attention to detail.
Nice-to-haves
- Experience with machine learning algorithms.
- Familiarity with data visualization tools such as Tableau or Power BI.
- Knowledge of database management systems.
Benefits
- Hands-on experience in data science and analytics.
- Opportunity to work on real-world projects.
- Mentorship from experienced professionals in the field.
