Data Science Intern

Summary

Join Datacor as a Data Scientist Intern and contribute to key aspects of data science and data analytics development. You will spearhead experiments, discover new ways to analyze information, and design solutions addressing customer needs. This role involves working with large datasets, developing algorithms, implementing large language models, and performing data analysis to inform product features. Collaboration with cross-functional teams is crucial, requiring strong communication and problem-solving skills. The internship is remote with potential travel.

Requirements

• Currently enrolled in a Master’s program or higher with a strong academic record required in one of the following: Statistics, Computer Science, Operations Research, Economics, Physics, or Engineering
• Strong command of machine learning methodologies; able to articulate key concepts and implement in working code
• Prior experience with owning small to medium-scale data science projects and presenting results to key stakeholders; able to logically support modeling approaches and cite benefits and drawbacks of alternatives to the business
• Prior experience with auditing models and performing quality control checks on other team members’ code and methods
• Prior experience with project scoping, defining deliverables, timelines, etc. as well as communicating end-results with formal documentation
• Complex SQL queries background with an emphasis on efficiency of execution time
• Experience with R or Python; has worked with productionalized code
• Demonstrated ability to maintain performance level in a fast-paced environment with changing priorities and deadlines
• A self-starter with the ability to work independently and within a team

Responsibilities

• Clean large, complex data sets and customer metadata, identifying the right tool out of the toolkit to achieve a desired outcome for the data
• Develop algorithms related to computer vision, forecasting and unsupervised learning methods
• Implement existing Large Language Models such as GPT, LLaMA, etc
• Perform data analysis on user behavior to inform product features
• Partner with cross-functional teams including Product, Engineering, Customer Success, and Sales to assist in various efforts around data analysis. Develop strong relationships with team members and ask the right questions to solicit help and feedback when appropriate
• Maintain deep and up-to-date knowledge of the data warehouse; troubleshoot data inconsistencies
• Translate business needs into analytical tasks, documenting and presenting results to both technical and non-technical audiences
• Interpret results using a variety of techniques, ranging from simple exploratory data analysis to statistical modeling
• Own discrete portions of the data science pipeline, including but not limited to data cleaning procedures, exploratory data analysis, modeling and visualization, and feature - selection methodologies
• With guidance, interview and gather feedback from customers and internal parties on data problems. Work with other team members to devise solutions to these problems as appropriate

Preferred Qualifications

Experience in a professional environment, including prior internship experience

Benefits

This is a remote internship with potential travel, depending on location, schedule, and business needs