Senior Data Scientist

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.