An early-stage investment of ours is looking to make their first categorical hire (employee #3) in Data Science. Since this is an early-stage opportunity, our ideal candidate will be able to not only champion and drive DS efforts within the company but also be able to contribute to production code as well (more details to follow). The founders will be leaning more toward candidates who are "customer obsessed" vs those who are "masters of craft" in data science.
Qualifications:
- MS or PhD with 8+ years industry experience in Product DS/User Behavior Modeling, Quant/Stats, Data Engineering, Analytics, and Software Development (Python)
- Scope: looking for proven, hands on leaders with customer-driven mindsets (Staff-level+)
The role:
Since the data is extremely diverse, there is lot of ambiguity to embrace. Our ideal candidate will be able to ask the right questions of the data (and request the right kinds of data from our customers); test hypotheses that can be validated, productionized, and refined; present key findings to external, non-technical users; automate the core workflow and expose new services to internal systems (modeling work will mostly rely on open source technology).
About Us:
Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: https://greylock.com/
We are full-time, salaried employees of Greylock who provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide).
How We Work:
We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately.
Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments.
