Jr Data Scientist/Machine Learning Engineer

  • Charlotte, NC
  • Posted 60+ days ago | Updated 4 days ago

Overview

On Site
$60 - $70
Contract - W2
Contract - Independent
Contract - 2 Year(s)

Skills

Data Scientist
Java
Linux
Python
Scala
Tensorflow
data analysis
data science
Linear Algebra
Spark

Job Details

What You Bring to the Role
• 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