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Skills
Amazon Web Services (AWS)unmatched
Apache Hadoopunmatched
Apache Sparkunmatched
Artificial Intelligence (AI)unmatched
Asset Managementunmatched
Business Intelligence Softwareunmatched
Cloud Computingunmatched
Computer Scienceunmatched
Data Modelingunmatched
Data Scienceunmatched
Data Visualizationunmatched
Financial Servicesunmatched
Machine Learningunmatched
Machine Toolunmatched
Mathematicsunmatched
Microsoft Product Familyunmatched
Microsoft Windows Azureunmatched
Power BIunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
Reinforcement Learningunmatched
Software Engineeringunmatched
Statistical Programming Languagesunmatched
Statisticsunmatched
Tableauunmatched
Text Clusteringunmatched
Training Data Setsunmatched
Description
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:
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.
Senior Python Developer duties:
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.