Data scientist Hyd / Blr

Location preference BLR/Hyd.

Preferred year of Exp 5 to 10 Yrs.

Work mode: Number of days candidate should attend WFO 2 days.

Experience creating and using machine learning algorithms and statistics: regression, clustering, decision trees, neural networks, etc, Strong understanding of supervised & unsupervised Client Techniques, Experience statistical computer languages: R, Python ete ,.

Basic knowledge tfetch data from Database like SQL or any cloud resource name it AWS / ADLS.

Basic knowledge on any Visualization tools like Power BI, Tableau ete ,.

Doing ad-hoc analysis and presenting results in a clear manner, Experience working with and creating data architectures, Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership, Should be proactive in driving large analytic projects and programs tcompletion, Explore tbig data machine learning models.

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