Chief Data Scientist (Co-Founder)
Finagic is looking for is looking for a Lead Data Scientist to implement our Artificial Intelligence and Data Science function. You will lay out what foundation for what AI and data mean for us.
Our mission at Finagic is to make every individual his or her own fund manager. If you’re excited about this mission of helping others intelligently manage their money, and about the intersection of Artificial Intelligence and Financial Services and you want to work on cutting edge problems with a group of talented founders from Amazon, Microsoft and Groupon, then read on.
Data: Define and improve data collection procedures to include information that is meaningful for building analytic systems. The world of finance has a lot of data. You’ll help us define what is needed and what’s not to achieve our product goals.
Insights: Generate insights on large data sets and define suitable problems to be solved with machine learning techniques. Analyze the data, determine what it means, and generate hypotheses.
Feature Engineering: Drive data mining, feature engineering and model creation within an agile development environment. Work with the other co-founders to deeply understand the financial services space and convert requirements into AI models.
Product Development: Work with a team of engineers to drive development and productionalization of ML models to be utilized by the Finagic application. A team of developers will help deploy successful models into production.
Product Management and Research: Collaborate with product management and engineering to understand company needs and devise possible solutions. There is a research aspect here in that we have a number of hypothesis on what we can do, and we want to continue to add new ideas and pick the best ones.
Leadership: As a member of the leadership team, you will work with the founders to take the company to its first round of funding, after which build and lead a team of talented data scientists and AI engineers.
The ideal candidate would have experience in all of the following areas. A successful candidate will likely have a rich subset.
Data visualization and analysis.
Advanced statistical techniques and concepts
Data cleansing and preparation
Experience building highly scalable ML/AI Models that were deployed in production
Open source libraries such as Tensorflow/MXNet/Caffe, SciKit Learn or equivalent.
Public cloud AWS/Google Cloud/Azure
Given that we’re an early stage startup, you will help us define the culture at Finagic. However, the founders have certain traits that we expect everyone coming in to have. Here goes:
We move with speed. We try things and we fail fast. We build our plane after jumping off the cliff.
We integrate our work and our life. We’re always connected.
We strive for success. We succeed to hit our goals no matter what.
We believe that there is no growth in the comfort zone and no comfort in the growth zone.
PhD/Masters in Artificial Intelligence/Machine Learning preferred