You will be creating valuable data tools and insights from scratch. You will be providing dashboards for executive-level audiences with a focus on their specific datasets and hghest priorities.

You will be applying various mathematical techniques centered on varied sources of data including time-series analysis, vector extraction, clustering and parameter optimization. You will also be researching various curve fitting models and learn to apply them effectively to the data.

The frameworks you build here will be extremely useful to the data science community as a whole.

Minimum Qualifications

BA/BS degree or equivalent practical experience preferred. Good knowledge of Linear Algebra Hands-on Data Science Programming – Python, R or Octave Excellent understanding of probability functions Understanding of Stochastic Processes and Markov Chain Models Familiarity with Bayesian Networks Excellent Attitude to Learn

Equity

0.125 – 0.5