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.

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• 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

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