Associate Director Data Science

Our Client is a Global Leader and this is for the Capability centre in Hyderabad

We need someone

• Hands on
• Manage a growing team of 10-20 highly qualified data Scientists, quality, Engineers
• Work with Leadership stakeholders from Business- Marketing, Product, Risk - across Europe & US
• Impeccable Communication Skills
• It would be an added advantage if you have experience in the US or EU

Role & responsibilities

• Lead and inspire a cross-functional Data Science Squad, ensuring high-quality delivery of end-to-end solutions across product, marketing, and operations domains.
• Set the long-term strategic vision for the Data Science squad, aligning with broader business goals
• Display entrepreneurial traits by partnering with stakeholders to identify new AI/ML opportunities across the businesses, build the project pipeline, define business problems, and design data science solutions
• Manage full model lifecyclefrom data exploration and feature engineering to model training, validation, deployment, and performance monitoring.
• Role-model cross-functional leadership, partnering closely with Product, Tech, and Business counterparts
• Represent the Data Science squad in executive forums, contributing to center-wide governance, prioritization, and stakeholder engagement.
• Establish a culture of storytelling, impact, and continuous improvement across the team

Preferred candidate profile

• 10+ years of experience in the data space, including hands-on exposure to data science, model development, and stakeholder delivery.
• Demonstrated experience working on B2C-focused models such as customer segmentation, recommender systems, marketing attribution, churn prediction, or personalization.
• Deep understanding of ML techniques, their practical applications, and limitations. Strong experience with modern data science languages and tools, including:
• Languages: Python (preferred), SQL
• Libraries/Frameworks: scikit-learn, XGBoost, LightGBM, pandas, NumPy, PySpark
• Statistical foundation: Weights & Biases, A/B testing frameworks
• Platforms: Databricks, AWS (S3, SageMaker), GCP (BigQuery, Vertex AI)
• Visualization: Tableau, PowerBI
• Understanding of data engineering principles and experience working with large-scale structured and unstructured data is preferred.
• Proven ability to engage and influence stakeholders through effective storytelling and excellent communication skills.
• Experience in driving alignment and delivering impact in matrixed or global organizations.
• Exposure to product-led or consumer technology companies is strongly preferred.
• Deep understanding of ML Techniques, their practical applications, and limitations"