Data Scientist

Responsibilities

• Responsible for the planning, conception and implementation of data science projects.
• Execution of complex data analyzes.
• Develop predictive models using modern statistical analysis methods and mathematical models.
• Implement methods in customer systems for optimized control of business models and processes.

Required Skills

• Knowledge of financial modelling, factor investing, risk modelling (CFA / FRM certification is a plus).
• Advanced Knowledge of Python, Scala and Java.
• Coding knowledge and experience with several languages: C, C++, Java, Java Script, etc.
• 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.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Excellent written and verbal communication skills for coordinating across teams.

Required Experience

• 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 Client techniques like clustering, regressions, classifications etc.
• Minimum 3 years of experience in data science with Python.
• Minimum 2 years of experience in data science with R.
• Experience with machine learning packages such as zipline, pyfolio, fbprophet, pysf, pyFlux, pyramid, TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, StatsModels, Spark Client.
• 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).

Education Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.