Head of Data Science

Overview Of The Role:-

We are seeking a seasoned data science leader to head our Data Science Squad at the in Hyderabad for our clients. This role is ideal for a professional with deep experience in model building, stakeholder engagement, and delivery leadership. The Head of Data Science Squad will lead a team working across client's global brands, delivering impactful machine learning and predictive modeling solutions that power real-world business decisions.

KEY RESPOBSIBILITIES: -

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 and Brands that the team works with

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 aligned to brand and flutter function priorities.

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 Mentor and grow team members while fostering a culture of experimentation and innovation

IDEAL 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 STRATEGY & TRANSFORMATION Customer Applications Vendor Mgmt. & Delivery Data & Analytics Change Management Workforce Management

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