Altair Career Off Campus Drive Hiring As Freshers for Data Science Trainee of Any Degree Graduates

Altair Career Off Campus Drive Hiring As Freshers for Data Science Trainee of Any Degree Graduates

About the Company:  Altair is a global technology company that provides software and cloud solutions in the areas of product development, high performance computing (HPC) and data intelligence. Altair enables organizations across broad industry segments to compete more effectively in a connected world while creating a more sustainable future. The details of Altair Career is given below

Company: Altair

Official Website: Altair

Wikipedia: Altair Wiki

Position: Data Scientist

Job Location: Banglore

Degree Needed: BE/B.Tech/ME/M.Tech

Passout Year: 2018/2019/2020

Latest Upcoming off Campus Drive: Apply ASAP

Skills Required for Altair Career :

• Programming experience using Python and/or R is required
• Strong background in Machine Learning, Data Mining and Statistical Analysis.
• A keen understanding of Data Science workflows and methodologies.
• Excellent English oral and written communication skills.
• Unending enthusiasm to learn.
• Relevant quantitative and qualitative research and analytics experience.
• Prior exposure to financial services, consumer packaged goods or business consulting is highly desired
• Experience with Data Visualization tools and Query languages.

Job Requirement for Altair Career :

• As Data Scientist Trainee/ Intern , you will be doing the following in BFSI (Banking and Finance) or Engineering/manufacturing domain.
• Part of discovery processes with key stakeholders to identify the problem definition at a technical level based on business requirements and define business-specific performance metrics.
• Develop domain knowledge needed for a given project.
• Dive into mining extensive data. Conduct comprehensive data analysis.
• Work with the larger project team to produce fast prototypes or proof-of-concept demos
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Use predictive modelling to increase and optimize customer experiences and various KPI’s
• Test & implement various predictive models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Communicate project status and results to technical and non-technical audiences.

Apply Link:Click Here

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