Description

You will develop and deploy data-driven solutions across the product lifecycle.

This role is on-site.

Responsibilities

• Collect, clean, and analyze large structured and unstructured datasets to identify trends and patterns.
• Develop, train, and deploy predictive models and machine learning algorithms in production environments.
• Build scalable ML pipelines and automate data workflows in collaboration with data engineering teams.
• Translate complex analytical findings into clear, actionable insights for product, business, and engineering teams.
• Research and experiment with new advancements in machine learning and analytics for POCs and prototypes.

Required Skills

• 5+ years of professional experience in data science or a related field.
• Proficiency in developing and tuning predictive models and statistical analyses.
• Experience building and deploying machine learning models into production.
• Familiarity with cloud platforms including AWS, Azure, and GCP.
• Working knowledge of big data tools such as Spark and Hadoop.
• Understanding of Data Architectures and data pipeline design.
• Ability to perform exploratory data analysis (EDA) and model performance evaluation.

Education: Any Graduate

Key Skills

Education

Any Gradute