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
SLICE DATA
- Team: MIT, Berkeley, Stanford, Google Research, Microsoft Research, IBM Research, Yahoo Research, Palantir, ...
- Investors: a16z, SHV, Social Capital, ...
- Customers: Fortune 500s down to SMBs
- Product: machine learning applications for non-technical users to help their businesses more effectively capture and retain customers
- Looking for: smart hackers, ideally strong in data mining, who are also excited to join an early-stage startup and grow with the company
RESPONSIBILITIES
- Build predictive models using sophisticated algorithms and data extracted from the web and other sources
- Interact with customers, analyze their data, understand their pain points, and develop new product features and new products
- Develop and operate secure, scalable cloud infrastructure to manage and process customers' large, confidential datasets
QUALIFICATIONS
- BS/MS/PhD in Computer Science, Statistics, Math or related fields
- Depth in software engineering, algorithms, and general analytical problem-solving
- Ideally experienced with analyzing data sets, formulating data problems, and building machine-learned models
- Familiarity with Python, Java/Scala, or R preferred
CONTACT
- https://www.slice-data.com
- [email protected]