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Ericsson
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Overall Rating
based on 204
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Hybrid
83% employees reported
Monday to Friday
86% employees reported
Flexible timing
75% employees reported
No travel
70% employees reported
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Rated by Men
148 reviews
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chirpingstarfruit
works at
Exhibitions India Group
**Python Selenium vs. MERN Stack – Which One is Better for My Career?**
I
**Python Selenium vs. MERN Stack – Which One is Better for My Career?**
I have an **offer from Ericsson** for a **Python Selenium (Automation Engineer) role**, while I am currently working in a **small company as a MERN Stack Developer**. I am confused about which path offers better career growth, learning opportunities, and future scope.
Which one has **better long-term prospects**—staying in **MERN stack development** or moving to **Python Selenium automation at Ericsson**?
Any insights would be appreciated! 🚀
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People also ask about Ericsson's Data Science & Analytics Department
Is Ericsson's Data Science & Analytics Department a good place to work for?
The experience of working at any company can vary based on factors like team, manager, role, company policy etc. However, with an overall rating of 3.8 out of 5 from over 204 employee reviews, it's clear that most employees have an average experience working at Ericsson's Data Science & Analytics Department.
Job security holds the highest rating at 4.0, while career growth is rated the lowest amongst all factors at 2.9.
Read reviews about
job security
and
career growth
on AmbitionBox.
Does Ericsson's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Ericsson's Data Science & Analytics Department employees rate their salary and benefits at 3.3 out of 5, based on 204 reviews. The rating reflects an average level of satisfaction among employees regarding compensation and benefits, indicating that while employees find the compensation and benefits acceptable, there is room for improvement in these areas. You can know more about Ericsson's Data Science & Analytics Department salaries
here
and to read reviews specifically about salary and benefits at Ericsson's Data Science & Analytics Department,
click here
.
How is the work culture at Ericsson's Data Science & Analytics Department?
Work culture at Ericsson's Data Science & Analytics Department is rated 3.9 out of 5 by 204 employees on AmbitionBox, indicating an average environment. Work culture encompasses aspects like collaboration, support, and overall employee satisfaction. The rating reflects that while some aspects of the work culture are satisfactory, there is room for improvement in certain areas.To read reviews specifically about work culture at Ericsson's Data Science & Analytics Department,
click here
.
How is the job security at Ericsson's Data Science & Analytics Department?
Based on 204 reviews on AmbitionBox, Ericsson's Data Science & Analytics Department employees rate job security at 4.0 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at Ericsson's Data Science & Analytics Department, indicating that most employees feel secure in their positions and trust the company to provide a reliable work environment. To read reviews about job security at Ericsson's Data Science & Analytics Department,
click here
.
Is work from home available at Ericsson's Data Science & Analytics Department?
According to AmbitionBox, 4% of Ericsson's Data Science & Analytics Department employees work from home permanently, 13% work from the office, and 83% follow a hybrid model, based on 23 reviews in the last 6 months. This reflects a flexible approach to work arrangements. To read reviews specifically about work-life balance,
click here.
How do I get a job at Ericsson's Data Science & Analytics Department?
To get a job at Ericsson's Data Science & Analytics Department, start by browsing the current open positions
here
and apply for roles that align with your skills and interests. It’s crucial to tailor your resume and cover letter to highlight relevant experience. Additionally, research top Ericsson interview questions and practice your responses to prepare thoroughly.
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