Senior Lead Engineer- Data Scientist

Roles & Responsibilities

• Data Scientist
• Programming: Python (including libraries: Pandas, Scikit-learn, Numpy)
• Design, implement and maintain Continuous Integration/Continuous Deployment pipeline solutions.
• Coordinates with cross functional teams to evaluate, design, implement and integrate customer requirements.

Required Skills:

• Data Wrangling: experience in data cleaning, preprocessing, post processing, transformation, and aggregation is critical as we are dealing with a decently large image dataset.
• Programming: Python (including libraries: Pandas, Scikit-learn, Numpy)
• Data Visualization: skilled in creating clear and insightful visualizations to communicate data insights effectively. Tools like Tableau or Power BI, Matplotlib, seaborn
• Documents and tracks issue, maintains the list through the life of the program.
• Stay up to date with new technologies and trends in cloud computing.
• Strong familiarity with the basics of cloud architecture

Good to have Skills

• Knowledge of cloud computing systems like Amazon, Azure, or Google Cloud - BASIC
• Support requirement definition for Azure and AWS architectural standards for cloud infrastructure systems.
• Ability to create container images and run containerized applications such as Docker.
• Statistical knowledge: Solid foundation in: probability theory, hypothesis testing, linear algebra, Bayesian statistics. Advanced statistical modeling: Familiarity with time series analysis, forecasting, and causal inference techniques.