Assistant Manager-Data Science-Data Scientist

EXL Talent Acquisition Team; Gurugram District; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

EXL Talent Acquisition Team is seeking a data science professional to leverage structured and unstructured data from media sources to drive advanced analytics. You will design and deploy machine learning models, apply statistical methods, and collaborate with cross-functional teams to translate insights into actionable business strategies, while embracing CI/CD and agile practices.

Experience with Python, SQL, and ML tools is preferred; strong communication and stakeholder management are

Qualifications

• Experience in data analytics and modeling projects.
• Proficiency with ML algorithms and evaluation metrics.
• Ability to translate complex insights into business actions.
• Strong communication and stakeholder management.

Responsibilities

• Prepare datasets from media sources for analytics.
• Develop analytical tools using ML and data science.
• Design and apply predictive and ML models for pricing and revenue.
• Use generative AI to create personalized content strategies.
• Validate models with accuracy, ROC, AUC metrics.
• Analyze consumer behavior across digital touchpoints.
• Monitor subscriber onboarding impact on retention.
• Translate insights into actionable business strategies.
• Support CI/CD deployment and agile project management.
• Collaborate with cross-functional stakeholders.

Skills

Data analysis

Statistical modeling

Machine learning

Communication

Cross-functional collaboration

Education

Bachelor's degree in a quantitative field

Tools

Python

SQL

Jira

CI/CD

NLP

Job description

Job Duties

• Leverage structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling.
• Develop and deliver impactful analytical tools and solutions leveraging statistical modeling, machine learning, and data science to uncover business insights and support strategic decision-making.
• Design and apply advanced predictive and machine learning models; including clustering (K-means, hierarchical), classification (KNN, Naive Bayes, CART), time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels.
• Leverage generative AI and large language models (LLMs) to develop and implement personalized content and messaging strategies across diverse media channels, enhancing audience engagement and campaign effectiveness
• Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy such as accuracy, sensitivity, specificity, ROC, AUC.
• Analyze consumer behavior trends and shifts across various digital touchpoints; perform cross-channel attribution analysis to inform targeted retention strategies.
• Monitor and analyze key engagement metrics to assess the performance of subscriber onboarding programs and their impact on long-term retention.
• Interpret complex analytical insights and translate them into clear, actionable business strategies that improve business outcomes.
• Support scalable deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination.
• Collaborate cross-functionally with technical and non-technical stakeholders to gather requirements, define project scope, and lead data science initiatives, demonstrating strong communication, leadership, and team-building skills