Data Scientist - Hyderabad, Telangana, India - Saaki Argus And Averil Consulting

Saaki Argus And Averil Consulting

Verified Company

Hyderabad, Telangana, India

4 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Our client is a leading manufacturing company based in Hyderabad, looking to hire Data Scientist.

The role will report to the Analytics Head, The role is responsible to identify, develop, deploy and maintain advanced analytics use-cases in various functional areas of the Business.

The role will be expected to liaise with the Business Heads and Functional teams and external implementation partners to identify areas to implement predictive analytics and deliver quality and high accuracy data models to replace human decision making.

Key Responsibilities:
Collaborate with stakeholders to plan, design, develop, test, and maintain the digital data center and analytics initiative.

Drive the implementation, testing, evolution, and maintenance of the various machine learning models developed. Be able to collect and provide relevant domain as well technical insights to finetune the Data Analytics Models built and improve the accuracy and usability of outputs generated. Take over model maintenance of models already deployed. Should have experience in ML Ops.
Work to understand and challenge solutions proposed by analytics partners. Be responsible for the quality and timely delivery of solutions delivered to the Business.

Work with business or functions in designing front-end business intelligence multi-dimensional Power BI dashboards effectively.

Educational Qualification:
Graduate/Post Graduate degree in Computer Science, Statistics, Data Science, or a related field.

Experience:

At least 46 years of experience in delivering large enterprise Analytics projects.
Overall experience of 8 years in Enterprise IT.

The Industry to be hired from:

Chemical/Pharma/FMCG
Manufacturing IT
Big 4, IT/ITES Organizations

Skills:

Proven experience as an Analytics Manager or Data Engineer/Scientist.
Solid experience in data analysis, data engineering, data science modeling and optimization, cloud computing architecture, and big data management and reporting; industry experience is a plus.
Knowledge of Excel, Python/R, and SQL.
Familiarity with business intelligence tools/data Visualization tools
Power BI.