· Master's degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or related fields, PhD is preferred. Alternatively, Bachelor’s Degree with at least 2 years’ experience as a Data Analyst, Data Scientist, or Research Assistant

· 6+ years of experience working in a corporate environment within IT

· Strong Proficiency in Python or Java programming language, or expertise with functional/object- oriented programming.

· Ability to translate objectives to a project plan with milestones, and resource/technology requirements, and teach, lead, and manage projects/people/clients to successful execution

· Ability to work across multiple engagements with clients to assess needs, provide assistance, and resolve problems, using structured problem solving and communication to both technical and non- technical audiences

· Availability to travel (80% after Training portion) and live in the U.S

· Strong English written and verbal communication skills

· Nice-to-have:

• Experience with command-line scripting, data structures and algorithms and ability to work in a Linux environment, processing large amounts of data in a cloud environment

• Experience in machine learning, artificial intelligence and/or artificial neural networks

• Proficiency in applying various mathematical and statistical models to include, but not limited to: discrete event simulation, factor analysis, genetic algorithms, Bayesian probability

• models, hidden Markov models, sensitivity analysis, sampling, probability, multivariate data analysis, regression, PCA, time-series analysis

• Broad understanding of databases (e.g. SQL, NoSQL, Lucene, Mongo), and high-performance or distributed processing (e.g. using MapReduce, Spark, Pig, and/or Hive)

• Experience with visualization software (Tableau, D3, MicroStrategy, PowerBI)

• Experience delivering solutions in an Agile environment

• Experience with Tensorflow, Theano or Keras

• Portfolio of public & private data science projects you’re proud of (GitHub, Kaggle, DrivenData, etc.)

• Publications in peer-reviewed journals

• Other programming languages such as Scala, Java, R