Technical Lead Data Science

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 #J-18808-Ljbffr