The Team Our team is small, tight-knit, and very effective.
Were entrepreneurial and diligent and strive to build a culture where the best idea in the room wins, not the one that comes from the most senior person.
Our team members engage all dimensions of the business, from sales and marketing to capital markets and underwriting.
Responsibilities Processing, cleaning and verifying integrity of data Extracting new and innovative insights from complex and/or large datasets Work closely with various stakeholders to understand their needs, crafting and pitching machine learning use cases to them Design efficient data visualizations to communicate complex ideas to stakeholders Support ad hoc analysis requests.
in Computer Science, Statistics, Applied Mathematics, Economics, Business, or other computationally intensive fields Excellent grasp of fundamentals in statistics and probability Expertise in SQL and proven comfort and an intellectual curiosity for working with large sets of data Proficiency in coding and software engineering concepts.
Fluency in Python/R preferred Experience with basic classes of machine learning techniques and algorithms (e.g.
regression, classification, boosting, clustering, time series, NLP) Familiarity with basic principles of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.) is a plus.
Proven ability to communicate findings clearly to both technical and non-technical audiences.