Description

You will own the end-to-end lifecycle of data science projects, from experimentation to deployment.

This role is on-site.

Responsibilities

• Perform advanced analytics to extract insights from large, complex datasets.
• Build, test, and deploy predictive models to solve business problems.
• Conduct experimentation and research using ML and AI techniques.
• Define and refine requirements for training and improving machine learning models.
• Present insights, model results, and recommendations to technical and non-technical teams.

Required Skills

• 5+ years of experience in a data science capacity.
• Strong proficiency in Python, R/RStudio, SQL, and scripting for data analysis.
• Experience with predictive modeling, machine learning algorithms, and statistical methods.
• Familiarity with ML frameworks such as TensorFlow and scikit-learn.
• Experience with cloud ML environments, preferably AWS SageMaker.
• Ability to work with structured and unstructured data.
• Proficiency with Tableau for dashboard creation.
• Strong communication skills to translate technical concepts clearly.

Key Skills

Education

Any Gradute