**Lead Data Scientist Job Description**
A leading media and entertainment company is currently seeking a Lead Data Scientist to join their team. This role will be pivotal in driving data science initiatives focused on media and cable networks to enhance subscriber engagement and retention.
About the Opportunity:
- Hybrid or Remote: Details not provided
- Shift: Standard business hours
- Schedule: Full-time
- Hours: 40 per week
- Setting: Corporate environment
Responsibilities:
The Lead Data Scientist will be responsible for:
- Leveraging data from various media sources for advanced analytics and modeling.
- Developing analytical tools and solutions using statistical modeling and machine learning.
- Designing predictive models to optimize pricing strategies and assess customer segmentation.
- Utilizing AI and LLMs to enhance audience engagement and campaign effectiveness.
- Assessing statistical models for accuracy and precision using relevant metrics.
Qualifications:
- 5+ years of experience in data science with impact on retention or engagement.
- Master’s or Ph.D. in Data Science, Statistics, or related field.
- Experience in Python/R, SQL, and ML libraries such as scikit-learn and TensorFlow.
- Proficiency in building churn models and CLV analysis.
- Proficiency with cloud platforms and big data tools like Spark and Databricks.
- Strong analytical and problem-solving skills.
- Excellent communication skills.
- Ability to work collaboratively in a team environment.
- Leadership and project management skills.
Desired Skills:
- Experience in content analytics within subscription-based media.
- Familiarity with third-party data platforms like comScore or Nielsen.
- Experience building personalization systems in digital environments.
- 5+ years relevant experience.
- Experience with subscription-based media analytics.
