Job Description :
Role : Data Scientist
Location : Raleigh, NC
Duration : 6+ MonthsDuration – 6 months (with possible extension or conversion to FTE thereafter)
Must be USC or Permanent Resident
Key Requirements:
A PhD, or Masters with equivalent work experience, with a solid background in machine learning, statistical analytical techniques, quantitative social science research or experimental physical science.
Knowledge of financial modelling, factor investing, risk modelling (CFA / FRM certification is a plus)
Advanced Knowledge of Python, Scala and Java
3+ years of profession experience and discipline in building Machine Learning models
3+ years of experience in Statistics and Data Science techniques like exploratory analysis, feature engineering and ML techniques like clustering, regressions, classifications etc.
Experience with machine learning packages such as zipline, pyfolio, fbprophet, pysf, pyFlux, pyramid, TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, StatsModels, Spark ML
Experience in Machine Learning techniques like hyper parameter tuning, model validation, model serving, model monitoring, retraining etc. (Machine Learning pipeline)
Experience with machine learning lifecycle tools (i.e. mlflow, kubeflow)
Excellent written and spoken English, with ability to work collaboratively and communicate well within a highly skilled team, with a wide range of backgrounds and skillsets.
Innovative mindset—thinks beyond the status quo