| 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. ----- • 20+ years' experience in BI and Analytics with 8+ experience in data science • 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. • Leverage data and business principles to solve modern devices, real estate modernization and network infrastructure problems. • Ability to translate business requirements into technical project plans. • Manage/develop strategic planning for a variety of key projects. • Onsite customer interaction and co-ordinate with onsite data scientists. • Extensive experience in project management & delivery of Data Science Model for actionable insights. • Industry experience in Data analytics/BI, Data modelling and visualization, Optimization, and statistics. • 5+ years of Scripting with one of these languages (R, PYTHON). • Ten or more years of overall IT/DBMS/Data Store experience. • Three or more years of experience in, big data and data visualization and handling of 10 Petabyte of data per month • Drive programs/projects from project initiation through delivery. • 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 • Experience in implementing A&I solutions using NLP, Luis, Machine Learning and Deep Learning • Responsible for building end to end pipelines for Machine learning and data science model. • Prior experience with Teams, Modern devices, real estate and networking infrastructure services and/or data analytics projects preferred. • Strong experience in visualization and storytelling to present to business • Expert in querying and analyzing big data using Kusto, Scope Scripts • Experience working with unstructured big data (Hadoop and/or Cosmos) • Experts in advanced Excel functions (e.g., creating formulas, pivot tables) and Power BI • Prior knowledge of data modelling and processing techniques for big data systems • Solid understanding of BI and data solutions, including Power-pivots, cubes, and data marts. • Self-motivated, agile and driven to think out-of-the-box • Ability to influence diverse audiences and build strong partnerships with stakeholders • Ability to work independently or to manage a virtual team that will research innovative solutions to challenging business problems. • Ability to collaborate with partners and drive analytic projects end to end, • Superior communication skills, both verbal and written • Attention to detail and data accuracy. • Business reporting • Experience with writing requirements as features or user stories • Ability to be a self-motivated team player. • Possession of excellent oral and written communication skills • Possession of excellent teamwork and interpersonal skills • Experience with Agile tools ----- |