Data Scientist

Join our Team

About this opportunity:

Responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Provide thought leadership, perform Advanced Statistical Analytics, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable. Are you ready to join?

What you will do:

•    Perform Data science leadership
•    Synthesize problems into data question(s)
•    Decide approach for data science
•    Design & perform data science experiment
•    Develop Data Science Infrastructure &Tools
•    Convert data into actionable insights.
•    Act in external relations

The skills you bring:

Theoretical Knowledge:
•    Common and advanced Clustering algorithms including probability density and distribution based.
•    Convolutional Neural networks (CNN)
•    Recurrent Neural Networks (RNN)
•    Transformers
•    Graph Neural Networks (GNN)
•    Bayesian based probabilistic graphical models
•    Deep Autoencoders
•    Latest machine reasoning techniques
•    Reinforcement learning
•    Generative AI

Application of ML/AI:
•    Clean clustering of high dimensional data with noise
•    Application of autoencoders to high-dimensional data
•    Application of GNN to high dimensional complex data structures
•    Application of CNN to high-dimensional temporal data
•    Application of RNN to high- time series data for forecasting
•    Application of Bayesian dimensional networks for causal reasoning
•    Auto learning of network structure from data for probabilistic graphical models
 
Frameworks, Languages, & General skills:
•    Strong programming skills in Python, ability to write object oriented and scalable code
•    JupyterHub and notebooks
•    Strong skills in the use of current state of the art machine learning frameworks such as PyTorch, Tensorflow, Keras, scikit-learn, etc.
•    Ability to handle large amounts high dimensional data (knowledge of distributed data pipelines is a plus)
•    Good data Visualization skills
•    Ability to work independently and be a self-starter with high energy, enthusiasm and persistence