I've been sent this job description five times in the past day. I can't begin to understand what hiring process gives rise to a list of 34 requirements. How many people does this describe? Somewhere between 0 and 1, I figure.<p>-----<p>• 20+ years' experience in BI and Analytics with 8+ experience in data science<p>• Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science). Any Data Science Certification and Project Management Certification will be an added advantage.<p>• Leverage data and business principles to solve modern devices, real estate modernization and network infrastructure problems.<p>• Ability to translate business requirements into technical project plans.<p>• Manage/develop strategic planning for a variety of key projects.<p>• Onsite customer interaction and co-ordinate with onsite data scientists.<p>• Extensive experience in project management & delivery of Data Science Model for actionable insights.<p>• Industry experience in Data analytics/BI, Data modelling and visualization, Optimization, and statistics.<p>• 5+ years of Scripting with one of these languages (R, PYTHON).<p>• Ten or more years of overall IT/DBMS/Data Store experience.<p>• Three or more years of experience in, big data and data visualization and handling of 10 Petabyte of data per month<p>• Drive programs/projects from project initiation through delivery.<p>• Responsible for data cleaning and developing various Data science models using R and Python. Provide insights using the various modelling technique like classification, Regression, RNN model, XGBoost, Random Forest, Decision Trees with association rules, Ensemble Learning etc<p>• Experience in implementing A&I solutions using NLP, Luis, Machine Learning and Deep Learning<p>• Responsible for building end to end pipelines for Machine learning and data science model.<p>• Prior experience with Teams, Modern devices, real estate and networking infrastructure services and/or data analytics projects preferred.<p>• Strong experience in visualization and storytelling to present to business<p>• Expert in querying and analyzing big data using Kusto, Scope Scripts<p>• Experience working with unstructured big data (Hadoop and/or Cosmos)<p>• Experts in advanced Excel functions (e.g., creating formulas, pivot tables) and Power BI<p>• Prior knowledge of data modelling and processing techniques for big data systems<p>• Solid understanding of BI and data solutions, including Power-pivots, cubes, and data marts.<p>• Self-motivated, agile and driven to think out-of-the-box<p>• Ability to influence diverse audiences and build strong partnerships with stakeholders<p>• Ability to work independently or to manage a virtual team that will research innovative solutions to challenging business problems.<p>• Ability to collaborate with partners and drive analytic projects end to end,<p>• Superior communication skills, both verbal and written<p>• Attention to detail and data accuracy.<p>• Business reporting<p>• Experience with writing requirements as features or user stories<p>• Ability to be a self-motivated team player.<p>• Possession of excellent oral and written communication skills<p>• Possession of excellent teamwork and interpersonal skills<p>• Experience with Agile tools<p>-----