Lead Data Scientist

Manage a team of data scientists, machine learning engineers and big data specialists.

Setup framework, and processes in which machine learning model are designed and deployed in a software application.

Performing data quality checks for quality assurance

Build data pipelines to supply quality data to machine learning models in production environment.

Conducts studies to provide additional facts needed to make informed decisions for organizational and functional business opportunities.

Test performance of data-driven products, visualize data and create reports.

Experiment with new models and techniques and ensure alignment of data projects with organizational goals.

Proven working experience of 5+ years as a Data Scientist and managed a team of data specialists.

Strong in mathematics - statistics, probability, linear algebra, time series.

Proficiency in working with large datasets and data wrangling using SQL (Structured Query Language).

Familiar with tools such as Jupyter, TensorFlow, Python, Azure ML, MS SQL Server.

Working knowledge of applied machine learning techniques such as regression, clustering, and forecasting of time-series data.

Familiarity with all aspects of the analytical cycle such as data wrangling and visualization, feature engineering, and model building.

Exposure to cloud technology is a must have skill (Azure).

Excellent critical thinking, verbal, and written communication skills.