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Overall Rating
based on 65
reviews
What employees say about GD Research Center?
Insights from employee reviews on AmbitionBox
Workplace insights
Hybrid
73% employees reported
Monday to Friday
98% employees reported
Flexible timing
56% employees reported
No travel
87% employees reported
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Gender based rating
Rated by Women
24 reviews
Rated by Men
38 reviews
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a senior software engineer
45 Days Into Notice & No Offers – What Should I Do?
I’m halfway through my 90-day notice period and have appeared for 5-6 interviews but haven’t cracked any yet. Should I keep pushing or consider withdrawing my resignation as a backup? How should I stay motivated and improve my interview performance? Looking for advice from those who've been in a similar situation!
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People also ask about GD Research Center's Data Science & Analytics Department
Is GD Research Center'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 3.4 out of 5 from over 63 employee reviews, it's clear that most employees have an average experience working at GD Research Center'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 2.4.
Read reviews about
job security
and
on AmbitionBox.
Does GD Research Center's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, GD Research Center's Data Science & Analytics Department employees rate their salary and benefits at 2.5 out of 5, based on 63 reviews. This lower rating reflects a significant level of dissatisfaction among employees regarding compensation and benefits, suggesting that many may feel undercompensated. You can know more about GD Research Center's Data Science & Analytics Department salaries
here
and to read reviews specifically about salary and benefits at GD Research Center's Data Science & Analytics Department,
click here
.
How is the work culture at GD Research Center's Data Science & Analytics Department?
Work culture at GD Research Center's Data Science & Analytics Department is rated 3.4 out of 5 by 63 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 GD Research Center's Data Science & Analytics Department,
click here
.
How is the job security at GD Research Center's Data Science & Analytics Department?
Based on 63 reviews on AmbitionBox, GD Research Center'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 GD Research Center'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 GD Research Center's Data Science & Analytics Department,
click here
.
Is work from home available at GD Research Center's Data Science & Analytics Department?
According to AmbitionBox, 18% of GD Research Center's Data Science & Analytics Department employees work from home permanently, 9% work from the office, and 73% follow a hybrid model, based on 11 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 GD Research Center's Data Science & Analytics Department?
To get a job at GD Research Center's Data Science & Analytics Department, start by browsing the current open positions
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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 GD Research Center interview questions and practice your responses to prepare thoroughly.
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