senior data scientist (marketing) - up to rm 15k.

• Hybrid Work Arrangement
• Global Presence
• Good Benefits

about the company

Randstad has recently partnered with a digital solutions and consulting company, promoting growth and scaling for businesses and organisations on a global scale. Your future employers value the partnership of modern technology with reliable solutions.

key responsibilities:

• Machine Learning Development: Design, build, train, and deploy end-to-end machine learning models focused on customer behavior, including churn prediction, lifetime value (LTV) forecasting, propensity-to-buy, and marketing attribution.
• Customer & Marketing Analytics: Partner directly with the Marketing and Growth teams to translate complex business problems into scalable data science solutions using our customer data platforms.
• Data Governance & Compliance: Act as a steward for data governance. Establish and enforce best practices for model tracking, data lineage, privacy compliance (e.g., GDPR/CCPA), and data quality within the SaaS ecosystem.
• Cloud Infrastructure: Leverage the Microsoft Azure ecosystem to build robust, scalable, and highly available data science workflows.
• Cross-Functional Collaboration: Work closely with data engineers, product managers, and marketing stakeholders to integrate ML models seamlessly into our SaaS product and operational workflows.

requirements:

• Experience: 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
• Domain Expertise: Deep understanding of marketing analytics, customer data platforms (CDPs), CRM data, or similar customer-centric domains.
• Industry Background: Proven experience working within a SaaS product environment, understanding subscription metrics and B2B/B2C SaaS data structures.
• Machine Learning: Strong track record of successfully building and deploying ML models into production environments.
• Cloud (Mandatory): Extensive, hands-on experience with Microsoft Azure (e.g., Azure Machine Learning, Azure Data Factory, or Azure Synapse).
• Governance: Demonstrated experience implementing or adhering to strict data governance, model monitoring, and data privacy frameworks.
• Programming: High proficiency in Python or R, and advanced SQL skills.

nice to haves:

• Experience building and scaling data workflows using Databricks.
• Experience working with Snowflake as a cloud data warehouse.
• Familiarity with marketing automation tools and how they consume ML outputs.

how to apply

Kindly click on the applicable link to apply if you are interested and suitable for this role. Alternatively, you can reach out to me via LinkedIn for a confidential discussion.

Sundar Ravindran | Randstad