Good Experience - Data Scientist Foundry.ai Employee Review

5.0
11 Mar 2025
Recommend
CEO approval
Business outlook

Pros

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

Cons

No huge cons right now

Explore other reviews about Foundry.ai

5.0
10 Jan 2023
Recommend
CEO approval
Business outlook

Pros

I agree that with another recent review that some older reviews seem outdated: the work is not at all like consulting. We are making a startup and doing the work that's needed on short and long-term horizons Talking to some longer tenured staff it seems like partnership projects before we launched startups (from the successful projects) had more work in them like consulting when we liaised with partners. I think the CEOs (Ned/Jim) care about making the kind of workplace they'd want to have worked for at our age. Mistakes come from them being twice the age of most staff. * Colleagues are smart and helpful. Great atmosphere * Flexible wfh * Lead Data Scientist / Software Engineer are thoughtful about their teams and products. * You get a lot of responsibility and control over work (also a potential downside)

Cons

Stock options are a gamble. If the startups don't get sold then we "only" get a six-figure salary.

5.0
26 June 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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