Lead Python Application Developer needs 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry. Lead Python Application Developer requires:  Iselin, NJ ( Hybrid) 3 days a week  Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.  Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry  Experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning.  Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries  Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau .  Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud.  Bachelor’s or Masters degree in computer science, data science, statistics, mathematics, or a related field. Lead Python Application Developer needs ? Create and maintain data flow design and technical requirements documentation using defined documentation templates that meets Agile product development standards (such as data analysis or methodology, MS Excel calculations). ? Understand business objectives and develope models that help to achieve them, along with metrics to track their progress ? Demonstrating the results of various algorithmic approaches and evaluating their performance ? Leverage a broad set of modern technologies ? including Python, R, Scala, and Spark ? to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training ? Analyze diverse sources of data, extract features from data sources, train and test models, and Productionalize the models that significantly improve business outcomes. ? Works closely with Data Scientists and Data Engineers to develop predictive algorithms ? Training models and tuning their hyperparameters. 