Accenture | Jobs | ACN – Applied Intelligence – GCP – Data Science – 07 | BigDataKB.com | 02-04-22

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Job Location: Mumbai


Organization: Accenture Applied Intelligence Position: CDM – DS

YOUR ROLE: Analytics Capability – Customer Analytics – CDM -Manager

JOB DESCRIPTION Digital analytics Manager is responsible to help the clients with analytics solution. He or she should be strong in analytics fundamentals and should have good hands on experience working with the following: Develop a clear understanding of client s business issue to inform the best approach to the problem. Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Adopt a clear and systematic approach to complex issues .i.e. A leads to B leads to C.. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL Deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Strong people management skills- work with other team members and make deliberate efforts to keep others up to date. Delegate and guide the team members towards the completion of the tasks or project. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate track and solve client issues.

Qualifications MSc or MPhil. in Statistics or Economics or Mathematics or Engineering Degree from Top Colleges in India or Abroad.

Must Have Skills: 8-10 years of experience in analytics teams solving problems for top global companies. Minimum 2 years of Google Cloud Platform .GCP. or any other cloud-based platform experience Hands on experience in build and deployment of Statistical Models or Machine Learning using following techniques – Statistical Algorithms o Supervised Learning: Linear regression Binary Classification Model .Logistic Random Forest XGBoost SVM etc.. o

Unsupervised Learning: Segmentation .Cluster Analysis. Recommender System etc. o Deep Learning: ANN RNN LSTM etc. o Experience in structured and unstructured data Strong Python SQL skills. Experience with SQL preferred .In traditional DBs such as Oracle TD MS SQL. Excellent written and oral communication skills with ability to clearly communicate i

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