AI/ML and Data Engineering Internship, Coalition

Responsibilities:

AI / Machine Learning

• Identify predictors and causes of business-related problems, implement novel approaches related to forecasting/prediction, and present written business recommendations.
• Design and implement tools and frameworks to be used across various machine learning and data science teams
• A strong desire to help build components of our Machine Learning platform that will be used by internal and external Coalition customers.
• Solicit and incorporate feedback on your work from your mentor, other user researchers, and multi-functional team members

Data Engineering

• Identify predictors and causes of business-related problems, implement novel approaches related to forecasting/prediction, and present written business recommendations.
• Ability to use data to identify gaps/problems in our customer’s journey and propose potential solutions
• Lead the design and delivery of data models, reporting systems, data automation systems, dashboards, and performance metrics that support key product decisions
• Ability to analyze disparate data sources and synthesize them into a narrative of what is happening in the data

Requirements & Skills:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Statistics, Mathematics, or related technical discipline
• You are entering your 4th year at university or final year for an advanced degree
• Strong familiarity with Python, and ability to code and iterate independently on top of data infrastructure tools like Jupyter Notebooks, standard ML libraries, Spark, etc.
• Understanding of statistical modeling/machine learning/ data mining concepts, and a track record of solving problems with these methods.
• Ability to apply statistical/machine learning techniques such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc.
• Ability to participate in a full-time internship between June-August