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Senior Wifi Analytics/Data science lead

Location London, United Kingdom
Posted 02-June-2020
Description

We have following opportunity at the moment with our client. Please have a look and let me know if you would be interested to apply:

Job Summary & Responsibilities:

Title: Senior Wifi Analytics/Data science lead

Location: London, UK

Duration: Contract Position

Job Description:

The associate will perform a variety of activities related to the Wifi Analytics & Data Science models. These activities may include:

Advanced wifi Analytics/Data Science: Provide subject matter expertise and create a broad range of data driven solutions by applying a variety of techniques to build out complex models Business Insights: Responsible for providing subject matter expertise, wifi analytics, and insights to recommend actions that will enable optimal business decisions and/or resolve complex business problems. Identify opportunities to drive business growth & value Visualization: Provide data visualization expertise and interpretation of data into meaningful insights or visuals to help facilitate business understanding of outcomes and recommendations Business Intelligence: Responsible for the design/development of complex reports, dashboards and scorecards to support business needs; ensure alignment of metrics across the organization Data Management: Participating in projects by analysing approaches, processes, and tools to support the business data strategy Data Governance: Responsible for improving the trust in our data through the management of integration, availability, usability, quality, integrity, and security of bank data Experience designing and working in Wifi Presence analytics(Location data, behavioural data), Marketing Analytics(Demo graphic data and Digital market data)Must have experience on the KPI's such as Dwell Time, First Time Visitors, First Time Visitor Return Rate, Customer Churn Likelihood, Popular Visit Times ..etc Experience on working on Customer Acquisition, Metrics Customer Engagement, Metrics Customer Retention Metrics Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Communicate analytic solutions to stakeholders and implement improvements as needed to operational system Experience in data mining & Understanding of machine-learning and operations research

Skills:

Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using Business Intelligence tools (eg Tableau) Apache Spark/Hadoop Platform/Athena Experience with Excel, PowerPoint, Tableau, SQL, programming languages (ie, Java/Python, SAS), and data frameworks (eg Hadoop)

 
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