Senior Data Scientist

Position Summary

End client is seeking an experienced and driven Senior Data Scientist to support advanced analytics initiatives for our global clients in the Sports & Media domain. This role focuses on developing predictive models, extracting insights from large-scale datasets, and translating analytical findings into actionable business strategies. The ideal candidate brings deep media industry expertise, hands-on modeling experience, and a strong ability to communicate results to both technical and business stakeholders.

Responsibilities:

• Develop and deploy advanced statistical and machine learning models across use cases such as churn prediction, audience segmentation, content recommendation, and customer lifetime value.
• Translate business challenges into analytical frameworks and deliver high-impact insights that influence strategy and operations.
• Analyze large, complex datasets using Python, SQL, Pyspark and statistical tools to derive meaningful patterns and trends.
• Collaborate with stakeholders across marketing, product, and data teams to understand needs and deliver actionable solutions.
• Build dashboards and visualizations to communicate insights clearly to cross-functional and senior leadership teams.
• Stay current with the latest media analytics trends and techniques, continuously improving analytical approaches.
• Mentor junior analysts and contribute to best practices in model development, validation, and deployment.

Required Qualifications:

• Bachelor’s or Master’s degree in Statistics, Computer Science, Economics, or a related quantitative field.
• 3–8 years of experience in data science or advanced analytics, with at least 2–3 years in the media or entertainment domain.
• Proven ability to build and implement models for customer behavior, retention, personalization, or marketing optimization.
• Proficiency in Python, SQL, and statistical/ML libraries (e.g., scikit-learn, XGBoost, stats models).
• Strong storytelling and communication skills with experience presenting to business stakeholders.
• Ability to independently manage analytics projects and collaborate across technical and business teams.

Preferred Qualifications:

• Experience deploying models on cloud platforms such as AWS, GCP, or Azure.
• Deep understanding of media domain metrics, user behavior, and content performance drivers.
• Exposure to Generative AI applications and large-scale personalization in media use cases.
• Proven ability to collaborate with global stakeholders in cross-functional, matrixed environments.
• Familiarity with productionizing models and working closely with MLOps or engineering teams.