Associate Director Data Science

2 weeks ago

Hyderabad, Telangana, India Aceprohr Delhi Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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"

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