Description

Lead data science initiatives for large-scale image datasets and automated deployment pipelines.

This role is on-site.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for data science workflows.
• Execute data wrangling, including cleaning, preprocessing, and aggregating large image datasets.
• Coordinate with cross-functional teams to evaluate and integrate customer requirements.
• Document and track technical issues throughout the program lifecycle.
• Monitor and integrate new technologies and trends in cloud computing.

Required Skills

• 5+ years of experience in data science or related roles.
• Proficiency in Python, specifically Pandas, Scikit-learn, and Numpy.
• Expertise in data wrangling and cleaning large-scale datasets.
• Strong foundation in probability theory, hypothesis testing, linear algebra, and Bayesian statistics.
• Experience with data visualization tools such as Matplotlib, Seaborn, Tableau, or Power BI.
• Familiarity with cloud architecture basics.
• Strong analytical skills and ability to communicate data insights effectively.

Preferred Skills

• Basic knowledge of cloud platforms including AWS, Azure, or Google Cloud.
• Experience creating container images and running applications using Docker.
• Knowledge of time series analysis, forecasting, and causal inference.

Key Skills

Education

Any Graduate