Technical Lead Data Science (C2H)

Detailed Job Description:
•           Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
•           Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs
•           Proven experience in developing models using Regression, Decision trees, Bayesian networks, Random Forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.
•           Proven experience in building and implementing Timeseries and forecasting models.
•           Experience in Deep Learning model development using Tensorflow, Keras, PyTorch
•           Hands on experience in building ML workflows
•           Experience in Model implementation, Governance and monitoring.
•           Responsibilities include: Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality, and separate it into working modules.
•           Working experience in Python, R, and SQL
•           Experience in Python data science packages such as numPy, SciPy, and SciKit-learn