Zebra Technologies Recruitment 2020 – Zebra Technologies Recruitment has announced vacancy for Data Scientist Position on its official career page. Eligible candidates with the desired qualifications can apply for the above post. Zebra Technologies Recruitment 2020 application forms are out. Check out all the application form link, desired qualifications, salary and other details in this job post below.
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Zebra Technologies Recruitment 2020
Notification: | Zebra Technologies Recruitment 2020 |
Post: | Data Scientist |
Experience: | Freshers (2020) |
Job Type: | Full Time |
Vacancies: | Not Disclosed |
Salary: | Not Disclosed(Rs. 8.1-16 LPA-GLASS DOOR) |
Location: | Bangalore |
Application: | Online |
Jobs by Location and Passed Out Year:
ABOUT ZEBRA TECHNOLOGIES:
- Zebra is prioritizing current and potential employees’ health and safety amid the COVID-19 outbreak. Our workforce has shifted to a primarily remote environment and all active interviews will be held virtually until further notice.
- We appreciate your interest in Zebra, and if you don’t see a current position that fits your skills, we still want to stay connected with you! The best way to stay engaged with our business, learn more about us, and receive updates on available positions is to join our talent pool by clicking here. We look forward to getting to know you!
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JOB DESCRIPTION:
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement
Responsibilities:
- Interacts with product and service teams to identify questions and issues for data analysis and experiments.
- Supports Development of Data Model using LookML (Coding language used on Google BI Platform – Looker)
- Support the creation of analytical models with emphasis on predicative and prescriptive analytics apart from Descriptive.
- Support creation of visualization representing patterns/trends in data
- Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to managers
- Supports the development and coding of software programs, algorithms and automated scripts to cleanse, integrate and evaluate large datasets from multiple disparate sources.
- Support Integration of statistical models into Zebra’s platforms, products or services by collaborating with software development team
- Evaluate new data to collect for products or services under consideration for development or in development cycle.
Qualifications:
- Bachelors degree, Masters or PhD in statistics, mathematics, computer science or related discipline preferred
- 0-2 years
- Statistics modeling and algorithms
- Machine Learning experience including deep learning and neural networks, genetics algorithm etc
- Working knowledge with big data – Hadoop, Cassandra, Spark R. Hands on experience preferred
- Data Mining
- Data Visualization and visualization analysis tools including R
- Work/project experience in sensors, IoT, mobile industry highly preferred
- Excellent written and verbal communication
- Comfortable presenting to Sr Management and CxO level executives
- Self-motivated and self-starting with high degree of work ethic
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EDUCATIONAL QUALIFICATION:
- B.E./B.Tech/M.E/M.Tech/phd
SELECTION PROCESS:
Selection process for Zebra Technologies Recruitment 2020 is:
- CV Shortlisting
- Interview
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HOW TO APPLY:
Interested candidates must follow the following procedure to apply for Zebra Technologies Recruitment 2020:
- Click on the “Apply Now” button below. (You will be re-directed to Zebra Technologies Official Career page)
- Click on “Apply Now”.
- Register, if not registered.
- After registration, login and fill in the application form with all necessary details.
- Submit all the relevant documents, if asked.
- Verify the entered details are correct or not.
- After verification, submit the application form.
LAST DATE TO APPLY:
Apply before the link expires for Zebra Technologies Recruitment 2020.
Apply Online: Click Here
Official Website: Click Here
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