Data Science Practitioner

Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.

Summary: As a Data Science Practitioner, you will engage in formulating, designing, and delivering artificial intelligence and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with team members to analyze data, develop models, and measure the effectiveness of AI and ML solutions, ensuring they provide tangible value to the organization. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Analyze complex datasets to extract meaningful insights and trends. - Collaborate with cross-functional teams to implement data-driven strategies. - Develop and maintain documentation for data models and processes. - Continuously evaluate and improve existing models and frameworks. Professional & Technical Skills: - Required Skill: Expert proficiency in Python. - Additional Good To Have Skills: Experience with Data Science, Data Analytics. - Strong understanding of machine learning algorithms and their applications. - Experience in data preprocessing and feature engineering techniques. - Proficiency in data visualization tools to communicate findings effectively. - Ability to work with large datasets and perform statistical analysis. Additional Information: - The candidate should have minimum 2 years of experience in Python. - This position is based at our Manila office. Minimum 2 year(s) of experience is required