Staying ahead of the AI curve - Data Science Engineer bei Predictive Sales AI: Mitarbeiterbewertung

• Different datasets and projects keep daily work interesting • Managers trust employees without constantly checking every small technical detail • Helpful teammates during deadline related project situations • Good learning around machine learning, analytics, and sales related data • Team discussions stay open and ideas usually get proper attention • Solid pay and benefits

Meetings sometimes take longer than necessary

The product concept was solid and the people were competent, just stuck in a system that prevents information from moving anywhere efficiently.

- Extreme siloing across departments prevented information from flowing between teams. - Data science could not align with sales ops on basic metrics, and product had no visibility into finance tracking. - Requests to others teams often went unanswered for days or were ignored entirely. - Projects were repeatedly disrupted because teams operated on different data with no awareness of each other's work. - Duplicate work was common, with different departments unknowingly solving the same problems in isolation. - Conflicting outputs and repeated misalignment became routine and normalized over time.