Senior Python Developer Lead

1 day ago


Woodbridge, New Jersey, United States Global Channel Management Full time

Job Summary:

We are seeking a highly skilled PYthon Developer Lead to join our team at Global Channel Management. As a key member of our ESG technology focused team, you will be responsible for leading the development of innovative solutions using Python and machine learning libraries.

About the Role:

The ideal candidate will have 7+ years of overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry. They should possess proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Experience with cloud computing technologies such as Hadoop, Apache Spark, AWS, Microsoft Azure or Google Cloud is also required.

Responsibilities:

  • 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 develop 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.

Requirements:

  • 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry.
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.
  • Experience with 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.

Salary Range: $140,000 - $170,000 per year.



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