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Data Science Squad Lead

Data Science Squad Lead

EXLHyderabad, Republic Of India, IN
2 days ago
Job description

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 lifecycle—from 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"
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    Data Science Lead • Hyderabad, Republic Of India, IN