Assistant Manager-Data Science-Data Scientist

Skip to main content.

View More Jobs

Assistant Manager-Data Science-Data Scientist

Trending

Apply Now

Job Info

• Job Identification5085
• Posting Date10/05/2025, 11:42 AM
• Job RoleData Science-Data Scientist
• Experience (In Years)6-9

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

Responsibilities

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

Qualifications

• Master’s or PhD in data Science, statistics, computer science, or related quantitative field.
• 5+ years’ experience in data science roles with demonstrated impact on retention, engagement, or churn reduction.
• Advanced skills in Python/R, SQL, and experience with ML libraries (scikit-learn, XGBoost, TensorFlow/PyTorch).
• Strong background in building predictive churn models, CLV, causal inference and uplift modeling
• Leverage cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Spark, Hive, Databricks), staying current with evolving technologies and Databricks’ architecture for scalable data science workflows.

Required Skills

• AI/ML integration
• AWS Outposts
• Attention To Consistency
• Azure Stack
• BI Reporting
• Big Data Engineering
• Cloud Solutions
• Content Delivery Networks
• D3 Data Visualization
• Database Management and Administration
• Excel Data Analysis
• Internal Communications
• Interpersonal Relationship Building
• Leadership Capabilities
• Software Defined Networking
• Working under Pressure

Similar Jobs

See More Jobs

• Home
• About Us
• Investors Relations

I am an employee

IMP NoticeLearn more

ACCEPT COOKIESDECLINE OPTIONAL COOKIES

Are You Still With Us?

It seems you've been gone for a while. For security reasons we will end your session automatically in 03:00 unless you would like to continue working.

End SessionContinue Working

Work Summary

This summary is generated by AI Assist. Click inside the summary text box to make changes as necessary.

DiscardAdd Summary

Page Assistant Manager-Data Science-Data Scientist - EXL Talent Acquisition Team Careers loaded