Greylock | Founding Data Scientist (Causal Inference)

Early-stage investment of ours is looking to hire a Founding Data Scientist with a strong background in statistical analysis and causal inference who has a proven track record influencing and working with both technical and non-technical teams. Since this is an early-stage opportunity, our ideal candidate will be able to champion and drive DS efforts within the company.Core Responsibilities:Collect, discover, clean, organize, and analyze data from multiple sources across customersDeploy your understanding of customer data to provide input and support to internal partners across the organizationVisualize and present insights to customers in order to help them better understand the value of this company's offering as well as to get their feedback on how to improve itLeverage customer data to design and build core ranking and prioritization algorithmsIdentify and create features that can be used to prioritize and make recommendations on key questions related to the product's workflowHelp to identify which inferred traits are necessary for inclusion into the knowledge base, to establish how to calculate the confidence levels of those inferred traits, and to implement the extraction of those inferred traitsWork with ML Applied AI engineers to productionize the aboveOnboard, support and up-level future team members focused on data science and beyondActively contribute to data normalization, result quality, and recruiting initiativesQualifications:MS or PhD with 7+ years industry experience in DS with large, highly-complex datasets and a good background in causal inferenceRelated focus areas: Social Networks, User Behavior Modeling, Quantitative Research, Operations Research (global taxonomies), Industrial Engineering, Marketplace Dynamics, Sentiment Analysis, etc.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: are full-time, salaried employees of Greylock who provide free candidate referralsintroductions to our active investments to help them growsucceed (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.

Created: 2025-01-01