Slice Data builds machine learning applications for non-technical users to help their businesses more effectively capture and retain customers. We're very early-stage - pre-Series A and just started selling our product this summer - but we already have a good set of customers (Fortune 500s down to SMBs) and hit profitability early on. We're also very fortunate to be backed by some top-tier investors including Andreessen-Horowitz and Sutter Hill.
We've been able to do this while keeping the team small - we're comprised of folks from MIT, Berkeley, Google Research, Microsoft Research, IBM Research, and Yahoo Research - but we're always keeping an eye out for great people. On the technology side, we manage a sizable amount of valuable/confidential business and web crawled data. Given the traction, we're now looking for folks strong in engineering and statistics who want to get in early and grow with the company.
RESPONSIBILITIES
- Analyze and understand customers' data and pain points to develop new product features and new products
- Build predictive models using sophisticated algorithms to help customers prioritize and succeed
- Develop data mining algorithms to extract useful signals from the web and other data sources
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Ideally experience with analyzing data sets, formulating data problems, and building machine-learned models
- Familiarity with Python, Java, or R preferred
CONTACT
- <a href="https://www.slice-data.com" >https://www.slice-data.com</a>
- REDACTED_EMAIL