Ericsson Careers 2018 | B.E,B.Tech,MCA,M.E,M.Tech | Data Scientist | Across India
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Ericsson Careers 2018 | B.E,B.Tech,MCA,M.E,M.Tech | Data Scientist | Across India
Company Profile
:
Ericsson is a world-leading provider of telecommunications equipment and services to mobile and fixed network operators. Over 1,000 networks in more than 180 countries use Ericsson equipment, and more than 40 percent of the world's mobile traffic passes through Ericsson networks. Using innovation to empower people, business and society, we are working towards the Networked Society, in which everything that can benefit from a connection will have one. At Ericsson, we apply our innovation to market-based solutions that empower people and society to help shape a more sustainable world.
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We are truly a global company, working across borders in 175 countries, offering a diverse, performance-driven culture and an innovative and engaging environment where employees enhance their potential everyday. Our employees live our vision, core values and guiding principles. They share a passion to win and a high responsiveness to customer needs that in turn makes us a desirable partner to our clients. To ensure professional growth, Ericsson offers a stimulating work experience, continuous learning and growth opportunities that allow you to acquire the knowledge and skills necessary to reach your career goals.
Ericsson Careers 2018
Company Name : Ericsson
Designation : Data Scientist
Start-up Companies : Click here
Criteria : B.E,B.Tech,MCA,M.E,M.Tech
Job Ref. : JB50363989
AMCAT Questions : Click here
Experience Required
- Typically 0-6 Years of overall experience required
OBJECTIVE OF THE JOB :
Responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.
Provide thought leadership, perform Advanced Statistical Analytics, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems.
Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.
RESPONSIBILITIES :
Build advanced statistical models, algorithms and trend analysis in order to discover predictive insights related to network and business objectives
Translate data algorithms and complex ideas into actionable management insights and solutions
Translate operator business objectives into business intelligence trough regressive data analytics
Explore and work on Big Data tools and technologies to sustain our continued operational transformation objectives and market leadership
Research and develop approaches on how to improve business processes and customers’ experience by using our vast amounts of data.
REQUIREMENTS:
Previous experience on a similar job (at least 5 years)
Good knowledge of statistical analysis, theory of probabilities, design of experiments and machine learning.
Acumen for business flow understanding and expertise in data preparation-data mining and pre-processing.
Strong Knowledge of SQL, PL/SQL, SQL Server, SPSS, SPAS
Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e. R, Python;
Knowledge of Business Objects
Distributed computing paradigms such as different distributions of Hadoop, Spark.
BEHAVIORAL COMPETENCES:
Creating & innovating
Learning and Researching
Responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.
Provide thought leadership, perform Advanced Statistical Analytics, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems.
Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.
RESPONSIBILITIES :
Build advanced statistical models, algorithms and trend analysis in order to discover predictive insights related to network and business objectives
Translate data algorithms and complex ideas into actionable management insights and solutions
Translate operator business objectives into business intelligence trough regressive data analytics
Explore and work on Big Data tools and technologies to sustain our continued operational transformation objectives and market leadership
Research and develop approaches on how to improve business processes and customers’ experience by using our vast amounts of data.
REQUIREMENTS:
Previous experience on a similar job (at least 5 years)
Good knowledge of statistical analysis, theory of probabilities, design of experiments and machine learning.
Acumen for business flow understanding and expertise in data preparation-data mining and pre-processing.
Strong Knowledge of SQL, PL/SQL, SQL Server, SPSS, SPAS
Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e. R, Python;
Knowledge of Business Objects
Distributed computing paradigms such as different distributions of Hadoop, Spark.
BEHAVIORAL COMPETENCES:
Creating & innovating
Learning and Researching
Placement
Papers :
3.Infosys
4. Mindtree
5.Syntel
Experience : Freshers (0 - 6 years)
- More
Fresher Jobs
Location : Across India (Are you looking for jobs in Bangalore, Chennai, Hyderabad, Delhi, Mumbai, Kolkata ?)
Preferred Qualifications & Experience Requirements :
- Problem Solving
- Troubleshooting skills
Only short-listed candidates would be contacted!
How to Apply Ericsson Recruitment Drive :
Interested and eligible candidates who wish to join Ericsson for this Profile can register online by using the following link as soon as possible.
Register here
# Note : please fill out the registration form completely on the above link
# Note : please fill out the registration form completely on the above link
- First Register on the above link and upload your CV
- All required fields and sections of a CV must be fully completed by the job seeker as indicated in the CV creation page
- To get call fast , please fill the registration form completely on the above link otherwise company not able to cl you.
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