Jr Data Scientist

Found in: Appcast Linkedin GBL C2 - 2 weeks ago

Charlotte, United States Tech Consulting Full time

Relocation: Are you ready to relocate to Atlanta, GA for the 8 weeks training program?


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, a bachelor’s degree with at least 2 years experience as a Data Analyst, Data Scientist, or Research Assistant
  • 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.
  • Strong English written and verbal communication skills.


Nice-to-Have:

  • Experience with command-line scripting, data structures, 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 Kera Portfolio of public & private data science projects you’re proud of (GitHub, Kaggle, Driven Data, etc.)
  • Publications in peer-reviewed journals
  • Other programming languages such as Scala, Java, R

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