Senior – Data Scientist

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years’ experience in an analytics related field
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years’ experience in an analytics related field
5 years’ experience in an analytics or related field

Build machine learning models for financial applications such as forecasting and anomaly detection
Develop methodologies to scale up the solution to handle millions of time series data simultaneously
Big Data processing and feature engineering
Training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
Integrate Global forecasting models (e.g., Temporal Fusion Transformers, Nbeats) to enhance forecasting precision and generate synthetic time series data for better model training
Time series forecasting, anomaly detection, LLM tuning, using sound statistical and deep learning methods
Train large scale neural networks and deploy them as automated batch pipelines using airflow
Deployment of machine learning models to cloud platforms to serve internal customers at scale

Data science, machine learning, optimization models
Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
Successful completion of one or more assessments in Python, Spark, Scala, or R
Using open source frameworks (for example, scikit learn, tensorflow, torch)
Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly
Knowledge of accessibility best practices