- Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.
- Hybrid, 3 days
- 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.
- Design and develop AI/Machine Learning models and enhance accuracy of models.
- Partner closely with business teams to drive the adoption, integration of model outputs.
- Build advanced analytics solutions using various cloud technologies and collaborating with Tech Product Team and Data Scientists to robustly scale up AI/ML Models.
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Description
About the job Senior Python Developer
Senior Python Developer needs 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry.
Senior Python Developer requires: