Senior Data Scientist

CXC; Philippines; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

CXC in the Philippines seeks a Senior Data Scientist to advance ML, Generative AI, and advanced analytics across the organization. You will build AI-powered solutions, scalable data pipelines, and data-driven dashboards to inform strategic decisions.

Collaborate with cross-functional teams, mentor juniors, ensure data quality and governance, and translate complex analyses into actionable recommendations using Power BI and cloud platforms. Your work will drive measurable business impact.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Information Technology, Engineering, Mathematics, or a related discipline.
• Minimum of 5 years' experience in Data Science, Machine Learning, Advanced Analytics, or a similar role.
• Proven experience developing and deploying machine learning models in production environments.
• Hands-on experience with Generative AI technologies, Large Language Models (LLMs), or AI-powered applications.
• Strong programming skills in Python, SQL, and data science libraries/frameworks.
• Experience building and maintaining data pipelines, ETL processes, and data engineering solutions.
• Proficiency in Power BI or similar business intelligence and data visualization platforms.
• Experience working with cloud technologies such as Microsoft Azure, AWS, or Google Cloud Platform.
• Strong analytical, problem-solving, and critical-thinking capabilities with a passion for turning data into insights.
• Excellent communication, stakeholder management, and data storytelling skills, with experience working in cross-functional and multicultural environments.

Responsibilities

• Design, develop, and deploy machine learning models and Generative AI solutions to solve complex business challenges.
• Analyze large, structured, and unstructured datasets to uncover actionable insights and business opportunities.
• Build, optimize, and maintain scalable data pipelines, ETL workflows, and data architectures.
• Develop predictive models, statistical analyses, and advanced analytics frameworks to support strategic decision-making.
• Create intuitive dashboards, visualizations, and reports using Power BI and other analytics tools.
• Collaborate with business leaders, product teams, and technical stakeholders to define data requirements and success metrics.
• Evaluate, experiment with, and implement emerging AI, machine learning, and analytics technologies.
• Ensure data quality, governance, security, and compliance through robust validation and monitoring processes.
• Translate complex analytical findings into clear business recommendations and presentations for technical and non-technical audiences.
• Mentor junior team members and contribute to the development of data science best practices across the organization.

Skills

Data science

Machine learning

Generative AI

Advanced analytics

Python

SQL

Power BI

Cloud platforms

Education

Bachelor's degree in Data Science or related field

Tools

Power BI

ETL pipelines

Data pipelines

Azure / AWS / GCP

Python libraries

Job description

We are looking for a Senior Data Scientist with expertise in Machine Learning, Generative AI, and Advanced Analytics to help drive data-driven innovation across the organization. In this role, you will develop AI-powered solutions, build scalable data pipelines, uncover actionable insights, and create compelling visualizations that support strategic decision-making. You'll collaborate with cross-functional teams and play a key role in transforming data into tangible business impact.

What We're Looking For:

• Bachelor's degree in Data Science, Statistics, Computer Science, Information Technology, Engineering, Mathematics, or a related discipline.
• Minimum of 5 years' experience in Data Science, Machine Learning, Advanced Analytics, or a similar role.
• Proven experience developing and deploying machine learning models in production environments.
• Hands-on experience with Generative AI technologies, Large Language Models (LLMs), or AI-powered applications.
• Strong programming skills in Python, SQL, and data science libraries/frameworks.
• Experience building and maintaining data pipelines, ETL processes, and data engineering solutions.
• Proficiency in Power BI or similar business intelligence and data visualization platforms.
• Experience working with cloud technologies such as Microsoft Azure, AWS, or Google Cloud Platform.
• Strong analytical, problem-solving, and critical-thinking capabilities with a passion for turning data into insights.
• Excellent communication, stakeholder management, and data storytelling skills, with experience working in cross-functional and multicultural environments.

Key Responsibilities:

• Design, develop, and deploy machine learning models and Generative AI solutions to solve complex business challenges.
• Analyze large, structured, and unstructured datasets to uncover actionable insights and business opportunities.
• Build, optimize, and maintain scalable data pipelines, ETL workflows, and data architectures.
• Develop predictive models, statistical analyses, and advanced analytics frameworks to support strategic decision-making.
• Create intuitive dashboards, visualizations, and reports using Power BI and other analytics tools.
• Collaborate with business leaders, product teams, and technical stakeholders to define data requirements and success metrics.
• Evaluate, experiment with, and implement emerging AI, machine learning, and analytics technologies.
• Ensure data quality, governance, security, and compliance through robust validation and monitoring processes.
• Translate complex analytical findings into clear business recommendations and presentations for technical and non-technical audiences.
• Mentor junior team members and contribute to the development of data science best practices across the organization.