Epsilon - Senior Data Scientist

This position requires an individual with a combination of computational and analytical skills. The candidate should have a solid foundation in computer science and statistics/math with well-honed skills in the following areas:

Data Management :

- Experience With Both Structured And Unstructured Data, And Hadoop Or Similar Technologies

- Able To Identify, Join, Explore And Examine Data From Multiple Disparate Sources And Formats

- Ability To Reduce Large Quantities Of Unstructured Or Formless Data And Get It Into A Form In Which It Can Be Analyzed

- Ability To Deal With Data Imperfections Such As Missing Values, Outliers, Inconsistent Formatting, Etc.

Statistics & Modeling :

- Knowledge Of Statistical Theories And Techniques Commonly Used In Prediction And Optimization Models

- Ability And Desire To Go Beneath The Surface Of A Problem And Distill It Into A Clear Set Of Hypotheses That Can Be Tested

- Design, Plan, And Manage Projects From Start To Finish & Produce Data-Driven Results With Appropriate Techniques To Answer Key Business Questions

- Mastery Of Statistical Programming Languages Such As R And Python

Machine Learning :

- Experience With Machine Learning Algorithms, Such As K-Nearest Neighbors, Random Forests And Ensemble Methods And Their Corresponding Implementation Packages In R Or Python

- Understand When It Is Appropriate To Use Different Techniques

- Experiences With Distributed Computing, Such As Hadoop, Spark Or Related Technologies

Software Development :

- The Ability To Write Code In Programming Languages Such As Sas, Java, R, And Python

- Capable Of Developing Prototypes And Fashion Their Own Tools To Conduct Analytic Research

Qualifications

- Advanced degree (Master- s/ Ph.D.) in Statistics, Computer Science or another quantitative discipline

- Minimum of 5 years of related experience

- Mastery of various statistical methodologies such as regression analysis (linear and non-linear), cluster analysis, CHAID, time series, survival models

- Experience with machine learning

- Experience with SQL, Scala, Python or Java

- Proficiency in at least one open source statistical program like R and KNime

- Working knowledge of Hadoop and other big data technologies

- Strong understanding of Statistics and modeling techniques

- Strong analytic thought process and ability to interpret findings

- Ability to work on multiple assignments concurrently

In addition, the candidate should have the strong business acumen, and interpersonal and communication skills, yet also be able to work independently. He/she should be able to communicate findings and the way techniques work in a manner that all stakeholders, both technical and non-technical, will understand.