Director, Engineering Data Science

Job Description

We are seeking a Director to build and lead a team of managers and engineers focused on harnessing engineering datapoints via innovative analysis, data science approaches and engineering processes. This role will partner closely across engineering verticals and executive leadership to design and deploy production engineering processes and data science models driving quality scoring and engineering insights.
Disney Media & Entertainment Distribution (DMED) brings together the Company's best-in-class product, technology, and commercialization teams together into one global organization. DMED is responsible for the P&L management and all distribution, network and engineering operations, sales, advertising, data, and certain key technology functions worldwide for the Company's content engines. DMED also manages operations of the Company's streaming services including Disney+, Hulu, ESPN+ and Disney+ Hotstar; and domestic broadcast and cable television networks.

Responsibilities:
• Provide team leadership and strategic direction for team members focused on data analysis and data science applications to inform engineering intelligence on the health of our services, clients, products and offerings
• Adapt methods from diverse disciplines such as machine learning, deep learning, artificial intelligence, statistical modelling, information theory, information retrieval and other areas to gain data insights, draw conclusions and work with engineering and business partners to put those insights into action
• Own strategic engineering approach for model scoring, data quality models, model deployment, including roadmapping with an emphasis on ensuring high quality engineering processes and scalability across all practices and applications
• Manage managers leading a team of engineers, partnering closely across the wider engineering organization to ensure all datapoints to power engineering are of high quality
• Serve as an executive contact for engineering and non-engineering stakeholders throughout the organization
• Develop a deep understanding of our engineering infrastructure and systems that support our customer facing products.
• Serve as a thought leader outlining best engineering and QA data practices as it relates to our software development lifecycle, unit testing and production level deployment across engineering applications and teams

Basic Qualifications:
• 9+ years of relevant experience in data science, advanced statistics or business analytics including experience with programming languages (e.g. Python, Spark, Pyspark or Scala), operating in a distributed compute environment
• 5+ years of experience managing a team
• 3+ years of Python, Spark, Pyspark or Scala is required
• High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, Gitlab
• Exceptional interpersonal skills and written communication skills, experience in documenting model methodologies, performance and hypothesis testing
• Ability to quickly evaluate risks and provide recommendations / solutions in a timely manner
• Bachelor's degree in information science, data management, computer science or a related field

Preferred Qualifications:
• Minimum two years of experience in streaming industry, knowledge of client and server side architecture a plus

Required Education
• Bachelor's degree in information science, data management, computer science or a related field

Jobcode: Reference SBJ-rv4zx0-18-116-63-236-42 in your application.