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Data Engineer with Telecom Exp

Pull Skill Technologies

Location: Tampa, FL 33601
Type: Temporary (unspecified), Temporary (long-term), Remote
Posted on: July 29, 2021
This job is no longer available from the source.
Telecom, AI, Statistics, ML, Tableau, Qlik, Hadoop, telesales
Contract W2, Contract Independent, Contract Corp-To-Corp, 12 Months
Depends on Experience
Work from home available
Role: Business Data Analyst III
Location: Tampa, FL
Long term contract
**Ideal candidate has Telecom background, specifically working on a Retail AI or Telesales project is HUGE.
Key skills here:  AI, Statistics, ML, Tableau, Qlik, Hadoop, Tableau.
You'll work with internal and external partners to create analytical models to predict customer demand, sales forecast and labor supply forecast. Youll then present the results to various business partners and sales operation executives. You will partner with business to build support for what-if analysis. Developing resolutions to complex problems, using your sharp judgment and evaluation criteria enables you to deliver solutions that make a big impact. You take pride in your ability to share your considerable knowledge with your peers..
• Co-create the business problem and opportunity space by partnering with the business unit and responsible for shaping and drafting the AI/ML use cases. Shape ideas into business cases. Assess requirement and use case formulation.
• Develop strategies to fix the business problems and partner with stakeholders to design and implement changes.
• Design, develop, implement, and oversee high-end analytical, technology processes and solutions with a focus on leveraging advanced machine learning and artificial intelligence methods.
• Perform ad-hoc analysis and develop reproducible analytical approaches to meet business requirements.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Present results and recommendations to senior management and business users.
• Communicate the business value of technical solutions.
You'll need to have:
• Bachelors degree or four or more years of work experience.
• Experience with projects to optimize retail operations.
• Experience in leading large scale data science projects and delivering from end to end.
• Experience with data visualization tools(Tableau, Qlik).
• Strong technical experience in data wrangling and statistical modeling.
• The ability to package analysis in clear and concise reports and presentations.
• Excellent communication skills.
Even better if you have
• Experience in working in Verizon retail operations.
• Strong foundational quantitative knowledge and skills; extensive training in math; statistics, engineering, or other related fields.
• Four or more years of experience in practicing machine learning and data science in business.
• Experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
• Experience in advanced machine learning algorithms - deep learning, boosting methods, time series etc.
• Experience in data management and data analysis in Teradata and in Hadoop.
-- Asher Williams asher(at)pullskill.com 201.497.1010 X:105