Senior Data Scientist

skyward contact solutions; Philippines; Hybrid; PHP 1,116,000 - 1,172,000; Full time

Job summary

Skyward Contact Solutions in Ortigas Pasig is seeking a Senior Data Scientist to design and deploy advanced analytics, ML models, and Generative AI applications. The role calls for collaboration with senior executives and cross-functional teams in an Agile setting.

You will build scalable data pipelines, create Power BI dashboards, and ensure data quality while working in a hybrid setup (3 onsite days per week).

Qualifications

• Bachelor's degree in data-related field; advanced ML/AI certs advantageous.
• 5+ years of data science experience.
• Proficient in Python, SQL; strong visualization with Power BI.
• Experience building and maintaining data pipelines; cloud familiarity (Azure/AWS).

Responsibilities

• Design and develop ML models and Generative AI applications.
• Perform data analysis and statistical modeling to extract insights.
• Build and maintain scalable data pipelines and ETL processes.
• Create interactive dashboards and Power BI reports.
• Collaborate with stakeholders to understand data requirements.
• Ensure data quality and integrity through validations.
• Stay updated with trends in data science and visualization.
• Perform other tasks as assigned.

Skills

Python

SQL

Machine Learning

Generative AI

Statistical Modeling

Data Engineering

ETL Development

Power BI

Azure Cloud

Data Visualization

Education

BSc in related field

Tools

Azure Data Services

Job description

Job Title: Senior Data Scientist

Work Location: ADB Office, Ortigas Pasig

Shift: Day shift (8am - 5pm)

Work Set-up: Hybrid (3x reporting on site per week)

Salary range: 100,000 - 105,000

Desired Experience Range: 5+ years

Headcount: 1

Required Technical Skill Set:

• Python
• SQL
• Machine Learning
• Generative AI
• Statistical Modeling
• Data Engineering
• ETL Development
• Power BI
• Azure Data Ecosystem / Azure Cloud
• Data Visualization

Educational Requirements:

• Graduate of a Bachelor of Science in Data Science, Statistics, Information Technology, Engineering, or other related fields. Advanced degrees or certifications in machine learning or AI are an advantage.

Relevant Experience and Other Requirements:

• At least five (5) years of experience in data science or related roles.
• Experience in machine learning, statistical modeling, and Generative AI.
• Proficiency in Python, R, SQL, and data visualization tools like Power BI.
• Experience in building and maintaining data pipelines.
• Familiarity with cloud platforms such as Azure or AWS.
• Strong analytical and problem-solving skills.
• Excellent communication and storytelling skills.
• Experience working in Agile teams and with cross-functional stakeholders.
• Ability to work with senior executives from diverse cultures.
• Excellent oral and written communication skills in English.

Responsibilities of / Expectations from the Role:

• Design and develop machine learning models and Generative AI applications.
• Perform data analysis and statistical modeling to extract insights.
• Build and maintain scalable data pipelines and ETL processes.
• Create interactive dashboards and reports using Power BI.
• Collaborate with stakeholders to understand data requirements.
• Ensure data quality and integrity through validation and quality checks.
• Stay updated with the latest trends in data science and visualization.
• Perform other relevant tasks as assigned.

Work Arrangement:

• Hybrid, requiring employees to report onsite three times a week. If the user unit requires contractors to report to HQ, compliance is mandatory.
• Work Schedule is from 8:00 AM - 5:00 PM Manila Time.

PRE-SCREENING QUESTIONS:

• Years of Data Scientist experience
• Years of experience in machine learning, statistical modeling, and Generative AI.
• Date of Birth:
• Current location:
• Are you amenable to the hybrid work setup (3x onsite) per week in Ortigas, Pasig with a day shift schedule
• Last drawn salary
• Salary expectation
• Notice period
• TOR and Diploma are available on hand (Must be Yes)