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
Proficient in machine learning, statistical modelling, and data science techniques
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
Recommendation engines
Experience in one or more of the following business domains
Customer Experience and Service
Finance
Operations
Consulting Experience with a premier consulting firm
Advanced degree in a quantitative field (ex. Master s, PhD)
Additional Technical skills
Familiar with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning
Knowledgeable of AWS APIs for Machine Learning
Has worked with Snowflake

Sr. Data Scientist

Job Description