Data Scientist

Job Summary

The Data Scientist is responsible for solving business problems through advanced analytics, machine learning, and data-driven solutions. The role involves building proof of concepts, developing predictive models, deploying machine learning solutions, and collaborating with cross-functional teams to drive strategic business outcomes.

Key Responsibilities

• Define business problems and convert them into analytical frameworks.

• Build and validate Proof of Concepts (PoCs) for data-driven solutions.

• Drive MVP development including data preparation, feature engineering, and model building.

• Deploy predictive models into production environments.

• Establish monitoring frameworks for model performance and reliability.

• Collaborate with cross-functional teams to align solutions with business goals.

• Continuously improve models based on feedback, new data, and changing business needs.

Required Skills & Experience

• 2+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
  
• Strong proficiency in Python, R, and SQL.
  
• Experience with machine learning libraries and frameworks.
  
• Knowledge of statistical modeling and machine learning algorithms.
  
• Experience with cloud platforms such as AWS, Azure, or GCP.
  
• Understanding of MLOps practices for deployment and monitoring.
  
• Knowledge of data engineering concepts.
  
• Strong analytical, communication, and collaboration skills.

Preferred Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related fields.
• Experience in end-to-end ML lifecycle management.
• Exposure to enterprise-scale analytics solutions.

Other Requirements

• Ability to translate complex business problems into actionable data solutions. 
• Strong problem-solving and critical-thinking abilities.