Senior Data Scientist

What will you do

Understand domain context and conduct exploratory data analysis to determine the best data science approach for the customer.

Identify how the data science approach can be executed via the product pipeline and any customer specific configurations needed to achieve objectives.

Train machine learning and deep learning models on large scale time series datasets

Use data wrangling and exploration to extract insights and relationships from the data

Perform descriptive analysis and build visualizations to help customer understand what drives the business metrics.

Identify and measure levers to help move essential metrics and make recommendations.

Perform accuracy analysis to identify opportunities for performance improvement on specific slices of data and ensure high performance across all slices.

Develop end to end automated pipelines for use cases like inventory management, price recommendation, demand forecasting etc.

Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems.

Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes.