Technical Lead (Data Science Engineer), San Antonio

Responsible for coding and testing customized analytical models of medium to high degree of complexity. Must be able to implement best practices when writing and testing code. Familiarity with the life-cycle of a data science project and extensive experience with python is a must. Requires strong interpersonal and communication skills, and ability to construct GUI interfaces.• 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. • Experience on building session-level models, and analyze the high-volume clickstream data from digital platform.• Proven experience in developing sequence modeling using RNN, Transformers, LSTM, XG Boost, Decision trees, Bayesian networks, Random forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms. • Experience /knowledge in Deep Learning model development using Tensorflow, Keras, PyTorch• Hands on experience in building ML workflows • Fluent with Natural Language Processing and Text Analytics libraries (NLTK, SpaCy) • 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