Onsite C2C Role: Technical Data Science at San Antonio, Texas

• NLTK, SpaCy, Data Science Platforms (Dataiku, H2o, Azure)

Preferred/Desired skills Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka

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