Data Scientist Intern

Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.

The Role:

As a Data Scientist Intern, you will be tasked with key aspects of data science and data analytics development, guided by experienced engineers. You’ll be tasked with spearheading efforts to design and execute on experiments that solve a pre-defined goal. You’ll help discover new ways to look at the information being collected and assist in designing solutions that address customer needs, including automated computer vision and forecasting systems to drive revenue and decrease costs at our customers. You should be comfortable with time-series analysis and have a strong knowledge of machine learning methods.

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.