Data Scientist (Mid - Senior)

Seven Seven Global Services, Inc.; Makati; Presencial; PHP 800.000 - 1.500.000; Tempo integral

Resumo da vaga

Seven Seven Global Services, Inc. is seeking a Data Scientist (Mid - Senior) to develop and implement predictive models that identify customers at risk of lapsing within the next 90 days. You will analyze customer data and provide actionable insights to support retention and marketing campaigns.

The role requires hands-on ML experience, strong SQL/Python/R skills, and the ability to translate analyses into business recommendations. This is an onsite position in Makati with a morning shift.

Qualificações

• Bachelor’s degree in data science, statistics or related field.
• Experience in predictive modeling and analytics.
• Hands-on ML experience.
• Proficiency in SQL and Python or R.
• Ability to translate analyses into business insights.

Responsabilidades

• Develop, validate, and deploy predictive models to identify customers at risk of lapsing.
• Analyze customer behavior, payment history, policy information, and engagement patterns.
• Apply statistical methods and machine learning techniques to improve model accuracy.
• Develop customer scoring frameworks and segment customers based on lapse risk.
• Generate customer risk scores and actionable lists for targeted retention campaigns.
• Collaborate with Marketing, Data Engineering, and IT teams to operationalize model outputs.
• Monitor model performance and continuously improve predictive accuracy.
• Analyze campaign effectiveness, customer responses, and retention outcomes.
• Prepare dashboards, reports, and presentations to communicate analytical findings.
• Ensure compliance with data privacy, security, and governance requirements.

Conhecimentos

SQL

Python

Analytics

Statistical analysis

Machine learning

Formação

Bachelor's degree (Data Science/Statistics)

Ferramentas

Python

R

SQL

Pandas

Descrição da vaga

Data Scientist (Mid - Senior)

Work Setup: Full Onsite – Makati City
Shift: Morning Shift

Job Summary

We are looking for a Data Scientist to develop and implement predictive models that identify customers at risk of lapsing within the next 90 days. The role will analyze customer data, develop risk scoring frameworks, and provide actionable insights to support customer retention and marketing campaigns.

Key Responsibilities

• Develop, validate, and deploy predictive models to identify customers at risk of lapsing.

• Analyze customer behavior, payment history, policy information, and engagement patterns.

• Apply statistical methods and machine learning techniques to improve model accuracy.

• Develop customer scoring frameworks and segment customers based on lapse risk.

• Generate customer risk scores and actionable lists for targeted retention campaigns.

• Collaborate with Marketing, Data Engineering, and IT teams to operationalize model outputs.

• Monitor model performance and continuously improve predictive accuracy.

• Analyze campaign effectiveness, customer responses, and retention outcomes.

• Prepare dashboards, reports, and presentations to communicate analytical findings.

• Ensure compliance with data privacy, security, and governance requirements.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, or a related field.

• Experience in predictive modeling, data analytics, and statistical analysis.

• Hands-on experience with machine learning algorithms and predictive modeling techniques.

• Proficiency in SQL and Python or R.

• Experience in customer segmentation, scoring, and propensity modeling.

• Knowledge of model evaluation metrics such as Precision, Recall, Lift, and AUC.

• Experience working with large datasets and translating analytical insights into business recommendations.

• Strong analytical, problem-solving, and communication skills.