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:

Overall 6+ years experience in technology roles.
Must have a minimum of 2 years of experience working in the data science domain.
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.
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.

Senior Data Scientist