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Data Scientist

ABOUT OUR COMPANY:

IDELIC is a venture backed and fast growing startup that specializes in enterprise software applications for one of the largest industries in the US: Transportation. This industry is ripe for innovation and our solutions use cutting edge analytics as well as beautifully designed and developed interfaces to help fleets save time, money, and most importantly, the lives of their drivers.

As a team member at IDELIC, you will have a lasting impact on the products and autonomy to lead and drive your projects. It is an incredible opportunity to build innovative solutions, tackle challenging problems, and make a profound difference throughout the world.

 

THE ROLE:

Idelic has decades worth of rich safety data available to parse and extract the most crucial and nuanced information surrounding driver behavior, both behind the wheel and outside of the vehicle. The insights we’re discovering are truly remarkable, and let us predict at-risk drivers and help prevent accidents before they happen.

Your role will be to take the lead and have ownership of this groundbreaking research, build a team around you, and help ensure we’re deciphering and modeling these huge data sets to continue our goal of saving driver’s lives. You will look for correlations in the data, create predictive models, and use machine learning to train our analytical platform to apply findings to real-time data in a variety of ways.

As you become familiar with the data available, you will search out other data sets and sources to pull in to continue to build insightful predictive models for our customer. Our goal is to become and continue to be the most comprehensive and powerful analytical tool in the industry, and this role is absolutely essential to that effort.

The candidate will work as an integral part of the overall team and be able to wear many hats in a fast paced startup environment. Located in our offices in the historic Strip District of Pittsburgh, this role is central to the company’s short-term and long-term strategy and success.

 

WHAT YOU’LL NEED:

  • Masters or PhD in Machine Learning, Data Mining, Mathematics, Physics, CS, Statistics, Economics or another quantitative field
  • Analytical Ninja - get pumped up by deciphering huge data sets and cutting through irrelevant distractions to the heart of core data questions
  • Experience with machine learning algorithms and building analytical models
  • Strong communication skills proven through past experience
  • Attention to detail; accuracy is a must!
  • Humble & scrappy - not afraid to take on lower-level projects when it will clear roadblocks

 

NICE TO HAVE:

  • Knowledge of statistical methods (sampling, inference and statistical modeling)
  • Experience with statistical programming languages (R, SPSS, STATA)
  • Experience developing data pipelines and infrastructure
  • Familiarity with machine learning APIs and services such as IBM Watson, Google Cloud, or AWS Machine Learning

 

If this sounds like you, we'd love to meet you. Please reach out, send us your portfolio or links to your repository, and we look forward to getting to know you.
 



 

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