Analytics Manager

United States

About the Role:

Analytics Manager wanted by ElectrifAi, LLC (Jersey City, NJ). Developing solutions and delivery/implementation; leading a team of data scientists in end-to-end development of solutions or delivery/implementation; designing machine learning approaches to solve business objectives. Other duties include: designing machine learning solution; staying up-to-date with latest advancement in data science; exploring multiple approaches and experimentation; estimation of work efforts and planning; assignment of task to team members; coordination and communication with other groups/departments, off-shore resources; preparation of reports and results for both internal and external/client facing consumption; presentation and walk through of solutions with clients; guiding and mentoring junior staff; coding and review of machine learning and software code; monitoring and fine tuning of solution in production/in-market; answering client queries and requests. Must have Bachelor’s s degree in Computer Science, Management Information Systems or related field plus 5 years of experience in the job offered or a related occupation; 5 years of experience in managerial position leading a team; 5 years hands on experience delivering end-to-end machine learning solutions; 5 years of experience in data science/machine learning; 5 years of experience in working with any one or a combination of Unix or Linux; 5 years of experience in coding with at least one of the following languages: Python, C++, Java or C; 5 years of experience in machine learning algorithms including logistic and linear regression, random forest, GBM, Neural Network, Convolutional Neural Network, And SVM; 5 years of experience in working with Microsoft Word/Excel/Powerpoint; 3 years of experience in Natural Language Processing (NLP) algorithms; 3 years of experience in statistical packages such as R, SAS, or Matlab; 3 years of experience in solution documentation and presentation of the same to executive level audience; 2 years of experience in Spark or Pyspark and working with cloud infrastructure; excellent verbal and written English to work effectively in a multicultural and international environment. May work from home office anywhere in the United States.  

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