Customer Data ML Intern at AvePoint in DC-Baltimore Area

Summary: AvePoint is seeking a Customer Data Machine Learning Intern to enhance their opportunity health scoring model, which is essential for improving pipeline quality and revenue outcomes. The intern will focus on feature engineering, model performance, and experimentation using various data sources, working closely with Data Science, Analytics, and RevOps teams. Responsibilities: - Review and analyze the existing opportunity health scoring model, including features, logic, and performance - Explore and integrate multiple data sources such as CRM, sales activity, product usage, and historical deal data - Design and develop new features to improve predictive accuracy (e.g., engagement trends, activity velocity, deal progression signals) - Build and maintain feature engineering pipelines to support model development and experimentation - Train, test, and evaluate machine learning models and compare results against existing baselines - Optimize model performance through tuning and iteration using business-relevant metrics - Support integration of improved models into existing scoring and reporting pipelines - Validate outputs with Analytics, RevOps, and sales stakeholders - Document model logic, features, assumptions, and recommendations for future improvements Required Qualifications: - Currently pursuing a degree in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Analytics, or a related field (rising sophomore through graduate level) - Strong interest in applied machine learning and predictive modeling - 4 Days in Office - Arlington, VA - Experience with Python or similar languages used for data analysis and machine learning - Familiarity with machine learning concepts, including feature engineering, model training, and evaluation metrics - Exposure to SQL and structured datasets - Strong analytical and problem-solving skills with attention to detail and data quality - Ability to work with ambiguity and iterate in an experimental environment - Clear communication skills and ability to explain technical concepts to non-technical stakeholders - Curiosity, ownership mindset, and eagerness to learn applied machine learning in a business context Preferred Qualifications: - Experience or interest in Microsoft Fabric, Azure, or modern data platforms is a plus Required Skills: Machine learning, Predictive modeling, Feature engineering, Model training, Model evaluation, Python, SQL, Data analysis, Analytical skills