Description

You will plan, conceive, and implement data science projects and execute complex analyses to optimize business models.

This role is on-site.

Responsibilities

• Develop predictive models using modern statistical analysis and mathematical methods.
• Manage the full machine learning lifecycle, including hyperparameter tuning, validation, serving, monitoring, and retraining.
• Implement methods in customer systems to optimize business processes.
• 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, 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 techniques: 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, and others.
• Knowledge of ML lifecycle tools like MLflow or Kubeflow.

Preferred Skills

• CFA or FRM certification.
• Knowledge of financial modeling, factor investing, and risk modeling.

Key Skills

Education

Any Graduate