Senior Data Scientist

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

Must have a minimum of 6 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 Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake

Proficient in machine learning, statistical modelling, and data science techniques

Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations

Excellent organizational, analytical and problem-solving skills

Ability to communicate complex results in a simple and concise manner at all levels within the organization

Ability to excel in a fast-paced, startup-like environment

Consulting Experience with a premier consulting firm

Advanced degree in a quantitative field (ex. Master s, PhD.