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Job Overview

Principal Data Scientist in New York, NY, USA

  • Reference - BR-012419-2
  • Permanent
  • Competitive salary

Job Description:

  • Identify and solve complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors
  • Work independently to determine methods and procedures
  • Oversee large - medium sized teams and/or work efforts
  • Architect complex solutions
  • Applied intelligence focused on Human Resources
  • Develop, conceptualize, test and scale various statistical and machine learning models
  • Team up with other data scientists and subject matter experts on global initiatives

Qualifications:

  • Bachelor's degree in data science, mathematics, economics, statistics, engineering and information management or related field of study
  • 7+ years of experience in data science and use of statistical methodologies
  • 5+ years of developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and other
  • 7+ years of experience in at least one of the following;
    • Supervised and Unsupervised Learning, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models, Deep Learning, Genetic Algorithms, Fuzzy Logic, Inference Systems
  • 7+ years working and conceptual knowledge and experience with data science tools, including Python, R, Scala, Julia, or SAS
  • 7+ years building and maintaining a large-scale analytics infrastructure used across the business including conducted research, design, implementation, and validation of cutting-edge algorithms to analyze diverse data sources
  • 7+ years technical project management of data science driven projects and data science professionals developing and delivering machine learning models that work in a production setting
  • Preferred Masters or Ph.D. (Computer Science, Statistics, Engineering, Physics, Mathematics, Economics, Industrial/Organizational Psychology or Social Science)
  • Working and conceptual knowledge in relevant domains (Human Resources, Talent Acquisition, Talent Development, Talent Supply Chain) including hands on experience handling data driven decisions
  • HR Certifications
  • Familiarity with relational databases and intermediate level knowledge of SQL
  • Knowledge of UNIX or Linux environments
  • Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc.
  • Experience working with large data streaming technologies like Spark, Flink, etc.
  • Proficient verbal, written and presentation skills

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