Description

You will plan, conceive, and implement data science projects and execute complex data analyses.

Responsibilities

• Develop predictive models using modern statistical analysis methods and mathematical models.
• Implement methods in customer systems to optimize business models and processes.
• Manage the full machine learning pipeline, including hyperparameter tuning, model validation, serving, monitoring, and retraining.
• Coordinate across diverse teams to communicate technical findings and project requirements.

Required Skills

• 3+ years of professional experience building Machine Learning models.
• 3+ years of experience in Statistics and Data Science techniques including exploratory analysis and feature engineering.
• Minimum 3 years of experience using Python for data science.
• Minimum 2 years of experience using R for data science.
• Advanced knowledge of Python, Scala, and Java.
• Coding proficiency in C, C++, and JavaScript.
• Experience with statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.
• Experience with ML packages: TensorFlow, PyTorch, Keras, SciKit-Learn, NumPy, SciPy, Pandas, StatsModels, Spark, Zipline, Pyfolio, FBProphet, PySF, PyFlux, Pyramid.
• Experience with ML lifecycle tools like MLflow or Kubeflow.
• Knowledge of financial modeling, factor investing, and risk modeling.
• Bachelor’s Degree in Computer Science, Computer Engineering, or a closely related field.

Preferred Skills

• CFA or FRM certification.

Key Skills

Education

Any Graduate