Data Scientist Intern - In Office, Scottsdale, AZ only

About the role

The Data Scientist Intern will assist the full-time Data Scientist team in analyzing, developing, and testing code that supports existing and future products and services. The role involves learning, analyzing, and utilizing data to solve problems and answer questions that improve customer service. Interns will visualize and contextualize raw data, train, evaluate, and deploy modeling techniques, and communicate trends and observations.

Additionally, the intern may help curate data upstream to ensure it is structured advantageously for future analysis and modeling. The goal is to gain the knowledge and experience needed to transition into a full-time Data Scientist role when ready. Internships can start at any point in the semester, with new hires beginning weekly.

Responsibilities

• Analyze and utilize data to solve problems and improve customer service.
• Visualize and contextualize raw data for better insights.
• Train, evaluate, and deploy various modeling techniques (e.g., tree-based models, neural networks).
• Communicate trends and observations derived from data analysis.
• Assist in curating and structuring data upstream to optimize future analysis.
• Collaborate with the team to ensure data is available in the most advantageous way.

Requirements

• Completion of or progress toward a degree in Data Science, Mathematics, Statistics, or a related quantitative discipline.
• Experience in Python or R, including relevant libraries/packages.
• Understanding of machine learning concepts and techniques.
• Ability to perform critical thinking and statistical analysis.
• Strong oral and written communication skills.
• Knowledge of computer vision, Natural Language Processing (NLP), or Large Language Models (LLMs) is preferred.
• Experience with SQL, stored procedures, or APIs is preferred.
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins is preferred.
• Ability to commute to the local office as scheduled.
• Able to work independently and communicate effectively within a team.
• Results-oriented, flexible, and open to change.
• Stable and progressive work history.
• Professional appearance and demeanor.
• Regular workweek hours; daily commute to the local office is required.