Job Responsibilities
• Drive Data science leadership!
• Synthesize problems into data question(s)
• Decide approach for data science
• Design & perform data science experiments
• Develop Data Science Infrastructure &Tools
• Convert data into useful insights.
• Act in external relations
Candidate Qualifications
Experience: 8-15 years of Experience in solution architecture, with strong knowledge in building python solutions from scratch and scaling it up.
Algorithms: • Common and advanced Clustering algorithms including probability density and distribution based. • Convolutional Neural networks! • Recurrent Neural Networks • Bayesian-based graphical models • Deep Auto-encoders • Latest machine reasoning techniques • Reinforcement learning • Quantum computing
Application of ML/AI: • Clean clustering of dimensional data with noise & Application of auto encoders to high-dimensional data. 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. Application of supervised and unsupervised technique
Frameworks, Languages, & General skills: • Deep experienced programming skills in Python, ability to write object-oriented and scalable code • Jupyter Hub and notebooks. Solid skills in the use of current pioneering machine learning frameworks such as Tensorflow, Keras, Scikit-learn, etc. • Capable to handle large amounts high dimensional data (knowledge of MapReduce or PySpark is a plus) on daily basis • Excellent data Visualization skills. Ability to work independently and be a self-starter with high energy, enthusiasm and persistence .
Automation and Web development: python Django, Flask, Plotly Dash, Selenium, Pywinauto, AWS LAMBDA, AWS ECR, AWS CODE Commit. Pandas, Numpy, General Python Libraries