Sr.DataScientist

## **About the Role:** * Work with low to minimum supervision to solve business problems using data and analytics * Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing * Work with various business stakeholders, to understand and document requirements * Design an analytical framework to provide insights into a business problem * Explore and visualize multiple data sets to understand data available for problem solving * Build end to end data pipelines to handle and process data at scale * Build machine learning models and/or statistical solutions * Build predictive models * Use Natural Language Processing to extract insight from text * Design database models (if a data mart or operational data store is required to aggregate data for modeling) * Design visualizations and build dashboards in Tableau and/or PowerBI * Extract business insights from the data and models * Present results to stakeholders (and tell stories using data) using power point and/or dashboards * Work collaboratively with other team members ## About You: * Must have a minimum of 3 years of experience working in the data science domain * Degree preferred in a quantitative field (Computer Science, Statistics, etc. * Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK * Highly proficient in Python * Highly proficient in SQL * Experience with Tableau and/or PowerBI * Has worked with Amazon Web Services and Sagemaker * Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica * Experience with one or more of the following types of business analytics applications: * Predictive analytics for customer retention, cross sales and new customer acquisition * Pricing optimization models * Segmentation * Familiar with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Lea