BASIC QUALIFICATIONS:

• A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
  • 10+ years of industry experience in predictive modeling, data science and analysis
  • Previous experience in a ML or data scientist role and a track record of building ML or DL models
  • Experience using Python and/or R
  • Knowledge of SparkML
  • Able to write production level code, which is well-written and explainable
  • Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
  • Experience working with GPUs to develop models
  • Experience handling terabyte size datasets
  • Experience diving into data to discover hidden patterns
  • Familiarity with using data visualization tools
  • Knowledge and experience of writing and tuning SQL
  • Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
  • Experience giving data presentations
  

PREFERRED QUALIFICATIONS:

• PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
  • 12+ years of industry experience in predictive modeling and analysis
  • Skills with programming languages, such as Java or C/C++
  • Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
  • Consulting experience and track record of helping customers with their AI needs
  • Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
  • Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
  • Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment