Data Scientist – Assistant Manager

About the role

We are looking for an experienced Data Scientist to lead hands‑on modeling on client engagements, turning business objectives into actionable predictive models that drive measurable value.

Key responsibilities

• Translate commercial goals into modeling problems such as churn, propensity‑to‑buy, uplift, LTV, and survival analysis.
• Identify, collect and integrate large structured and unstructured data sources required for client business needs.
• Perform data analysis, feature engineering and build reproducible pipelines and feature registries.
• Develop, evaluate and operationalize models (churn, cross‑sell, ranking, etc.) ensuring scalability, auditability and clear business impact.
• Collaborate with software developers and ML engineers to implement models in production, integrate outputs with client MarTech channels, and set up monitoring, drift detection and retraining processes.
• Produce model cards, documentation and governance artifacts, and conduct explainability and fairness checks for regulated contexts.
• Create reusable templates, notebooks and coach client analysts on model usage and monitoring.

Required profile

• 3–6 years of hands‑on applied data‑science experience.
• Strong mathematical and statistical background.
• Proven ability to frame business problems into predictive modeling tasks.
• Experience working with large structured and unstructured datasets.

Required skills

• Data mining
• Statistical analysis
• Machine‑learning model development and deployment