Data Scientist

This position is located in Fairway, Kansas. 

Job Summary

Pollen, Inc. (D/B/A C2FO) is seeking a talented data scientist to analyze, innovate, and optimize the algorithms and approaches we apply to our markets. The scale of the problem (and opportunity) is enormous, as we have delivered more than $15 billion in working capital and over 100 million days of accelerated payment across the globe.

This year, more than a dozen global companies representing more than $400 billion in revenue have joined the market. This position is a high visibility, high impact opportunity that will directly impact how product decisions are made around some of our thorniest problems and biggest opportunities.

Primary Responsibilities

  • Partner closely with the company’s Product and Engineering teams to analyze, innovate and optimize the algorithms applied to the company’s markets.
  • Innovate around next generation algorithms and some of the company’s most significant data related challenges and opportunities.
  • Employ techniques from mathematical sciences and data exploration methods to analyze the story behind the numbers and articulate and present solutions.
  • Test hypotheses by developing data mining prototypes and running experiments in a time-sensitive
  • Inform, influence, support and execute the company’s product roadmap. Build from the ground-up scalable and high-performance algorithms.

Requirements

  • Master’s degree in Computer Science or a related field;
  • One year experience in the job offered or in a related position;
  • Domestic travel required 10% of the time;
  • Thorough demonstrated understanding of probability theory, statistics, and data mining methodologies;
  • Proficiency in SQL and at least one general purpose programming language / scripting language (Python, JavaScript, Scala, R, or the like);
  • Familiarity working with relational databases (MySQL) and non-relational (NoSQL) databases (MongoDB, Hbase);
  • Proficiency in classification (logistic regression, decision trees, KNN) and regression (OLS, LASSO, elastic nets) techniques; and
  • Familiarity with unsupervised machine learning techniques such as clustering (K-means, hierarchical) and dimensionality reduction (PCA, NMF).

A few more things to know:

We are a startup. We expect a lot. We are a driven team with big ambitions to change the world. We are seeking individuals who are truly passionate about their work.

This is a unique opportunity to join one of the fastest growing young financial technology companies and build something from the ground up. Select “Apply Now” and email us your resume and cover letter to be considered for this position.

 

Apply Now