Are you passionate about making great products by combining statistics, programming, and insight about how the world works?
Do you want to influence a company’s most critical decisions? Do you want to be able to predict trends before anyone else? Do you want to develop products that depend on real-time data analytics?
About Jump Capital
We're a venture capital firm based in Chicago. We fund 35+ startups across a breadth of industries (analytics, machine learning, IOT, Big Data, etc). Our founders want to solve the world’s hardest problems and revolutionize technology.
You could find yourself:
Saving lives by giving hospitals better access to data
Changing the way the world tells stories through machine learning
Starting the next industrial revolution merging data science, analytics, and machine learning
Connecting people with the things they love through software engineering and data
If you are someone who...
Currently has or is in the process of obtaining a PhD and/or postdoctoral assignment in a quantitative field with research work including a significant statistics or quantitative analysis component (e.g. computer science, applied mathematics, statistics, experimental physics, astronomy, chemistry, engineering, etc. or related degree)
Has been building/hacking on your own system
Has a methodology to approaching large data sets
Is able to communicate findings to clients, customers, and teammates
Is passionate about open source (Panda, Numpy, Kaggle, etc)
Works with Python, R, Hadoop, Spark, etc.
Interested in using Machine Learning techniques/technology
...then we look forward to receiving your application.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We're eager to meet all types of engineers and data scientists, regardless of where you live or what tools you use day-to-day. Your creativity and curiosity are much more important to us.
