Data Science Practitioner

Summary: As a Data Science Practitioner, you will engage in the formulation, design, and delivery of artificial intelligence and machine learning-based decision-making frameworks and models aimed at achieving significant business outcomes. Your typical day will involve collaborating with various teams, analyzing data, and providing insights that drive strategic decisions, while also measuring and justifying the value of AI and machine learning solutions implemented within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and best practices within the team and across departments. - Analyze complex data sets to identify trends and insights that can inform business strategies. - Mentor junior team members and support their professional development. Professional & Technical Skills: - Required Skill: Expert proficiency in Data Science. - Strong understanding of machine learning algorithms and statistical modeling techniques. - Experience with data manipulation and analysis using programming languages such as Python or R. - Familiarity with data visualization tools to effectively communicate insights. - Experience in deploying machine learning models in production environments. Additional Information: - The candidate should have minimum 5 years of experience in Data Science. - This position is based at our Manila office. Minimum 5 year(s) of experience is required

Mandaluyong City

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