Senior Data Scientist- Marketing AI
Summary
Lead AI/ML projects including Generative AI and LLM applications to drive customer personalization and data-driven strategies for media services.
As a Senior Data Scientist, you'll lead AI/ML initiatives that shape products and services. Your models and insights will drive customer personalization, optimize operations, and enable data-driven strategies across the enterprise Artificial Intelligence & Data Analytics (AIDA) unit is powering the next phase of our AI evolution—embedding intelligence across the business to unlock new value, drive innovation, and transform customer experiences.
Key Responsibilities
Lead end-to-end data science projects, including Generative AI and LLM applications.
Build and productionize predictive models (churn, propensity, cross-sell).
Analyze customer behavior across mobile, broadband, and entertainment services.
Design and execute A/B tests, segmentation, and optimization strategies.
Mentor junior data scientists and ensure code quality.
Communicate insights clearly to stakeholders and leadership.
Key Requirements
Degree in Computer Science, Statistics, Mathematics, or related field.
3+ years of relevant experience; telecom/insurance analytics a plus.
Expertise in ML/statistical modeling, LLMs, Generative AI, SQL, Python, Spark, Databricks.
Strong knowledge of cloud platforms (Azure, AWS, GCP) and ML lifecycle tools (MLflow, Airflow).
Excellent problem-solving, communication, and visualization skills.
Experience mentoring and collaborating in team environments.
Key Responsibilities
Lead end-to-end data science projects, including Generative AI and LLM applications.
Build and productionize predictive models (churn, propensity, cross-sell).
Analyze customer behavior across mobile, broadband, and entertainment services.
Design and execute A/B tests, segmentation, and optimization strategies.
Mentor junior data scientists and ensure code quality.
Communicate insights clearly to stakeholders and leadership.
Key Requirements
Degree in Computer Science, Statistics, Mathematics, or related field.
3+ years of relevant experience; telecom/insurance analytics a plus.
Expertise in ML/statistical modeling, LLMs, Generative AI, SQL, Python, Spark, Databricks.
Strong knowledge of cloud platforms (Azure, AWS, GCP) and ML lifecycle tools (MLflow, Airflow).
Excellent problem-solving, communication, and visualization skills.
Experience mentoring and collaborating in team environments.