IT, Technology Lead, Machine Learning, data science
Hire IT People, LLC
Job Seekers, Please send resumes to resumes@hireitpeople.com Job Details:
Must Have Skills (Top 3 technical skills only):Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.Mine and analyze data from company databases to drive optimization and improvement of business strategies.Assess the effectiveness and accuracy of new data sources and data gathering techniques.Develop custom data models and algorithms to apply to data sets.Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.Develop processes and tools to monitor and analyze model performance and data accuracy.Detailed Job Description:
Python/R expertise with Data Science algorithmsExperience using statistical computer languages (R, Python.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures.Knowledge of a variety of machine learning techniques /algorithms(clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Minimum years of experience: 5+
Certifications Needed: No
Top 3 responsibilities you to shoulder and execute: Work with stakeholders to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of business strategies.Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets.Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Must Have Skills (Top 3 technical skills only):Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.Mine and analyze data from company databases to drive optimization and improvement of business strategies.Assess the effectiveness and accuracy of new data sources and data gathering techniques.Develop custom data models and algorithms to apply to data sets.Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.Develop processes and tools to monitor and analyze model performance and data accuracy.Detailed Job Description:
Python/R expertise with Data Science algorithmsExperience using statistical computer languages (R, Python.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures.Knowledge of a variety of machine learning techniques /algorithms(clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Minimum years of experience: 5+
Certifications Needed: No
Top 3 responsibilities you to shoulder and execute: Work with stakeholders to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of business strategies.Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets.Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
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