Summary
Sandhills Global is seeking a Data Scientist Intern who will assist the full-time Data Scientist team in analyzing and developing code for products and services. The role involves utilizing data to solve problems, visualizing raw data, and deploying modeling techniques.
Responsibilities
- Assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services
- Learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers
- Visualize or contextualize raw data
- Train, evaluate, and deploy various types of modeling techniques
- Communicate the resulting trends and observations
- Help facilitate the curation of our data upstream from the work described above
- Ensure data is made available in the most advantageous way possible
Skills
- Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
- Experience in Python or R, and various libraries/packages
- Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
- Ability to perform critical thinking and statistical analysis
- Strong oral and written communication skills
- Ability to commute when scheduled to the local office is required
- Able to work independently and communicate within a team environment
- Results oriented
- Flexible and open to change
- Stable and progressive work history
- Professional appearance and demeanor
- Hours during regular work week, Ability to commute daily to local office is required
- Knowledge around computer vision, Natural Language Processing, or Large Language Models
- Experience with SQL, stored procedures, or APIs
- Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins
Qualifications
Must Haves
- Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
- Experience in Python or R, and various libraries/packages
- Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
- Ability to perform critical thinking and statistical analysis
- Strong oral and written communication skills
- Ability to commute when scheduled to the local office is required
- Able to work independently and communicate within a team environment
- Results oriented
- Flexible and open to change
- Stable and progressive work history
- Professional appearance and demeanor
- Hours during regular work week, Ability to commute daily to local office is required
Nice to Haves
- Knowledge around computer vision, Natural Language Processing, or Large Language Models
- Experience with SQL, stored procedures, or APIs
- Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins