
Data Science Expert
2 days ago
Welcome to Warner Bros. Discovery, where data-driven insights fuel our creative vision and business strategies.
We are seeking a highly skilled Senior Data Scientist to join our team of innovative thinkers and problem solvers. As a Sr. Data Scientist, you will be responsible for analyzing large and complex datasets from diverse sources, including movies, gaming, studios, and enterprise operations.
You will leverage statistical modeling, machine learning, and data visualization techniques to uncover valuable insights that drive decision-making in content development, marketing strategies, audience targeting, and enterprise-level functions such as finance, operations, and customer experience.
Your work will support both creative and business teams in delivering data-driven strategies and maximizing the impact of our products and services.
Key Responsibilities:- Design, build, and validate machine learning models to predict key business outcomes such as user engagement, content performance (e.g., box office, streaming views), and customer retention in gaming platforms.
- Utilize supervised and unsupervised learning techniques, including regression models, classification algorithms, clustering, recommendation systems, and time series forecasting, to address business needs.
- Implement deep learning techniques, including neural networks and natural language processing (NLP) for advanced content analysis and user behavior prediction.
Requirements:
- Bachelor's degree, MS, or greater in Computer/Data Science, Engineering, Mathematics, Statistics, or related quantitative discipline.
- 5+ years relevant experience in Data Science.
- Expertise in a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, random forests, deep learning etc.) and experience with applications of these techniques.
- Expertise in SQL and either Python or R, including experience with application deployment packages like R Streamlit or Shiny.
- Experience with database technologies such as Databricks, Snowflake, and others.
- Familiarity with BI tools (Power BI, Looker, Tableau) and experience managing workflows in an Agile environment.
- High attention to detail and capability to work independently in managing multiple priorities under tight deadlines.
- Proficiency in big data technologies (e.g., Spark, Kafka, Hive).
- Experience working in a cloud environment (AWS, Azure, GCP) to facilitate data solutions.
- Ability to collaborate effectively with business partners and develop and maintain productive professional relationships.
- Experience with adhering to established data management practices and standards.
- Interest in movies, games, and comics is a plus.
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