Glassdoor

Proud to work here - Data Science Glassdoor Employee Review

5.0

8 Feb 2017

Recommend

CEO approval

Business outlook

Pros

Glassdoor is the best place I’ve worked at, and I’m honored to work for a product that seems universally loved, by friends or strangers on the street. We mean it when we say integrity is a core value. For example, we have one consistent standard to how we approve or reject reviews, regardless of whether an employer is a client or not. Internally, through EQ training and leadership culture, we emphasize open communication and feedback. There are many smart people in the tech industry, but the people here are also generally the most caring co-workers I’ve had, and I think it’s related to our product and mission. Also, I love working with the data science team, and hope that we will remain friends beyond our time at Glassdoor. I’m a big fan of the CEO’s decision to focus more this year, and I’m optimistic about the strategy. I also like the recent attention to listening to and understanding our users. In the past it had felt like users were mainly traffic numbers. Work-life balance is respected. We have options for work from home and flexible hours. Some people work nights and weekends, but often this is self-driven. We still have much upside to incorporating data science into more of our product, especially since we have so much data to work with.

Cons

There have been several re-orgs in the Data Science & Analytics teams - the most recent one splits us into Decision Science and Machine Learning groups. Re-orgs are probably common for a growing company our small size, but it takes some adjustment, e.g. how our career paths here change with them. Though he will still work with us, the VP of Data Science is leaving data science to lead product and strategy here. This is a big win for the company, but a loss for our team. He has been a big force in mentoring and inspiration, working closely with us from whiteboarding ideas and formulas to providing feedback on even our detailed work. Some departments are more title inflated and heirarchical, and information can be lost in communication across layers or across teams, causing people working on the ground to hear about them late and feel like they have little say. We are in the early stages of using big data processing technology in data science, and still figuring this out.

Glassdoor Response

I am glad to hear that that you feel rewarded to work at Glassdoor. Our culture and mission is what makes it special for me too, and I am so happy to hear that you have built life-long relationships within the Data Science team. I hear you on the most recent re-org. I know it can be distracting in the short term, but it sets us up perfectly to make an outsized impact on the company. In my new Product role; I'll drive to make Machine Learning more integral to Product. This is going to require lots of rapid and deep innovation on ML, which the new org structure will allow for. Personally, I see myself working as closely with Data Science as ever before. Look, data is core to Glassdoor, and I will absolutely continue to mentor, guide and help develop the team. -Vikas

Proud to work here - Data Science Glassdoor Employee Review

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