TeraCrunch, LLC is a fast-growing Big Data Predictive Analytics startup located in the Kansas City Metro area working with many of the premier corporations in the midwest region. We’re looking for technically-savvy, self-motivated individuals who can function will in a fluid, fast-paced environment.
As a Data Scientist, you’ll work with our experienced data science team to bring big data analytics products to our clients. As a member of our startup team, you’ll have to be flexible and wear many technical hats, but your primary responsibilities will include:
Designing and testing analytic models for a variety of clients
Implementing and monitoring those models in a realtime, production environment
Contributing to the further, ongoing development of our predictive big data analytics platform
Interfacing with clients to satisfy their needs and support their use of our platform
Experience, Education & Skills:
5+ years industry or university experience with two or more of the following techniques: statistical modeling, computational modeling, simulation modeling, and machine learning
Ph.D. in Computer Science, Informatics, or a Social or Behavioral Science, with a strong quantitative background
Strong R programing skills, experience with Python, Java or PHP also a plus
Experience with SQL (preferably Postgres) and NoSQL (MongoDB, Hadoop) databases, experience with graph databases (such as Neo4j) also a plus
Familiarity with research methods, experimental design and measurement theory
Familiarity with data visualization and display techniques and software
Our preference is for candidates in the Kansas City Area, or who are willing to relocate. However, we’re willing to explore remote options with the right candidate. There is also an opportunity to start part-time and work flexible hours. We offer attractive stock options and the opportunity to grow with a talented startup in an exciting market.
Qualified candidates should send resume to This email address is being protected from spambots. You need JavaScript enabled to view it.