You'll learn a lot of full-stack data engineering skills, if that's what you're looking for.
Cons
The job isn't really "data science" according to the definition commonly accepted in the industry. The team doesn't do much modeling or machine learning. Rather, most of the day-to-day work concerns pipeline maintenance and data engineering.
Also, the product owner doesn't always have a clear vision on strategic priorities or what the team should do next. Work is often handed to us in a piecemeal way, which leads to short-term focus and instability.
Career growth is limited because the job isn't really differentiated between junior vs senior-level Data Scientists. So, even if you're promoted, you won't necessarily get increasing responsibility.
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2 people found this review helpful
Groupon Response
Thanks for taking the time to leave this thoughtful review about your time at Groupon. One of our values is "Ownership and Performance," which we think complements your experience. We want Grouponers to have the ability to take chances and learn by having a breadth of opportunities that may not be available somewhere else. That said, it's a delicate balance to strike between "autonomy" and "ambiguity," and we recognize there's always room for refinement there. This feedback is just as important to us internally, so we hope you had the chance to share these observations with your manager, leadership team, or in our anonymous pulse surveys. Thank you for the dedicated years you spent with Groupon, and we wish you the best of luck in your next adventure.
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Employee Review
Cold calling
Apr 26, 2022 - Business Development Representative in Chicago, ILPros
Fine if ur down too cold call 24/7
Cons
Cold calling All day every day
Other Employee Reviews
Good engineering experience
Jun 25, 2022 - Machine Learning EngineerPros
Good tech stack and engineers
Cons
poor long term product road map
Unclear product strategy, too focused on short-term projects
May 18, 2022 - Data Scientist in Chicago, ILPros
You'll learn a lot of full-stack data engineering skills, if that's what you're looking for.
Cons
The job isn't really "data science" according to the definition commonly accepted in the industry. The team doesn't do much modeling or machine learning. Rather, most of the day-to-day work concerns pipeline maintenance and data engineering. Also, the product owner doesn't always have a clear vision on strategic priorities or what the team should do next. Work is often handed to us in a piecemeal way, which leads to short-term focus and instability. Career growth is limited because the job isn't really differentiated between junior vs senior-level Data Scientists. So, even if you're promoted, you won't necessarily get increasing responsibility.
Groupon Response
Thanks for taking the time to leave this thoughtful review about your time at Groupon. One of our values is "Ownership and Performance," which we think complements your experience. We want Grouponers to have the ability to take chances and learn by having a breadth of opportunities that may not be available somewhere else. That said, it's a delicate balance to strike between "autonomy" and "ambiguity," and we recognize there's always room for refinement there. This feedback is just as important to us internally, so we hope you had the chance to share these observations with your manager, leadership team, or in our anonymous pulse surveys. Thank you for the dedicated years you spent with Groupon, and we wish you the best of luck in your next adventure.
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