Careers & Jobs

Key Responsibilities

• Design and deliver end-to-end Data & Analytics solutions, translating business needs into scalable architectures.
• Define data roadmaps, data models, and enterprise platforms (DW, BI, Big Data) for batch and real-time analytics.
• Enable self-service consumption and support advanced analytics use cases across domains.

Qualifications

• Strong experience in data architecture, data modeling, and Data Warehouse design.
• Proven expertise with Spark, Kafka, Hadoop, Flink, pipelines, and analytics platforms.
• Machine Learning pipeline experience is a plus. Excellent communication and fluent English.

Education & Experience

• Bachelor’s or Master’s in CS, Engineering, Statistics, or related fields.
• 10+ years in data engineering, including 5+ years in big data environments.

Key Responsibilities

• Develop and deploy ML and statistical models for churn, upsell, and cross-sell decisioning.
• Run exploratory and confirmatory analyses to turn data into actionable insights.
• Validate, monitor, and maintain predictive models across their lifecycle.

Qualifications

• Strong experience with R and solid knowledge of SPSS for advanced statistical modeling.
• Good understanding of EFA and CFA, hypothesis testing, multivariate analysis, and ML techniques.
• Strong communication skills and fluent English.

Education & Experience

• Bachelor’s or Master’s degree in a related field.
• 5+ years of experience in Data Science or Advanced Analytics.