A Culture of Intelligent Action - Data Scientist Foundry.ai Employee Review

5.0
Jun 24, 2020
Recommend
CEO approval
Business Outlook

Pros

Foundry has a unique business model that combines data science solutions with opportunities to create valuable software. The project-based nature of the work exposes you to different people, industries, and types of work so you learn a ton on the job. Everyone hired is eminently qualified, which contributes to the learning environment. Even starting out, I was able to contribute immediately, and the team I was placed on has been great about answering my questions and helping me along. The opportunities for advancement are incredible because of Foundry's continued growth and engagement in different products. It is a fun, start-up-esque environment with the resources of a larger company. Even remotely, we have a social lunches and virtual happy hours. It is a close team with a high ceiling working on incredibly interesting problems.

Cons

Foundry is continuing to improve its diversity. Currently majority male and white like many tech firms, but Foundry is very conscious of this and actively taking steps towards diversifying. We solve business problems. The problems are hard and interesting, but entirely scoped to make money for our partners. I wish there was a greater focus on doing social good. Team placement is based on need, so even if there is a super interesting group or project, you are not guaranteed to be placed where you want to be.

Explore other reviews about Foundry.ai

5.0
Mar 11, 2025
Recommend
CEO approval
Business Outlook

Pros

good team environment, interesting problems, rewarding work, opportunity to grow

Cons

No huge cons right now

5.0
Jun 26, 2020
Recommend
CEO approval
Business Outlook

Pros

If you learn by getting your hands dirty, this is an ideal place to learn everything in the tech stack and how huge companies think about making decisions with data. Strong startup culture allowing for early ownership of work and making changes to how the company operates No-one is a cog in the number-generating machine. People in Data and Software roles are also heavily involved in designing the work they do Great for senior technical staff who want more ownership and to engage in continual development unhindered by the slow response time of an enterprise company. Great place for generalists who could solve operational problems, write code, or do deep research. Lots of funding and diverse stock options make this a low-risk high-reward startup. People get to work on portfolio companies as suits their skills and interests A lot of time with the company founders allows staff to learn a lot about how 30+ year tech & C-suite veterans operate.

Cons

We are very focused on the best next-step in each AI system, and getting better results every week. While this is good (and a breath of fresh air for anyone who has watched a larger company stagnate), there is room for us to get more benefit from long-term research tasks or formalising our internal knowledge to help new hires learn faster. The most senior technical staff are stretched thin. They do great work and are supportive of their teams, but they each have FAR more than a full-time roles' worth of responsibility.

3
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