Director, Data Science and Business Intelligence

Sony Pictures Entertainment   •  

Culver City, CA

Industry: Arts & Entertainment

  •  

5 - 7 years

Posted 395 days ago

You’ll also:

  • Work with Operations to develop and manage reporting mechanisms, build and analyze dashboards/reports, and design and evaluate experiments to understand the root causes of metric changes.
  • Conduct exploratory analysis to propose new roadmap ideas, understand ecosystems, user behaviors, and long-term trends; and you’ll create quarterly budgets/forecasts, 3-year strategic plans, and an annual business review.
  • Influence product teams through regular presentations and communicate your findings to key groups, and you’ll build key data sets to empower operational and exploratory analysis.
  • Draw conclusions from data to develop and manage primary research studies (including client ROI analysis), utilize comScore and other syndicated sources to provide competitive intelligence, benchmarking, and audience positioning.
  • Create topical research decks for sales support with information on consumer trends, cross platform measurement and the overall media marketplace.
  • Supervise the data team to ensure that stakeholders are supported on a tactical level.

Why you’ll love it here:
1. Growth: By interpreting our rich data sets, you will be at the forefront of major decision-making and strategy. Your applied research and forward thinking will shape the direction and continued success of the digitalnetwork, and will directly impact the product decisions that influence our established user audience, and will help target and acquire new viewership.

2. Leadership: You will witness a direct connection between your work and an optimization of the consumer experience. You will also have opportunities to face and solve unprecedented challenges and work with cutting-edge technology. We believe in recruiting quality candidates over quantity, so by leading our dedicated data team, you will play a major role in steering the ship. You won’t simply engage with leaders, you’ll be one.

3. The best of both worlds: You’ll have the opportunity to shine in an established but innovative digitalnetwork- with a “hit-the-ground-running” feel and collaborative spirit of a start-up, combined with the force, visibility, and resources of a powerhouse studio behind you.

What you’ll bring to the table:
-
A demonstrated ability to think critically, problem solve, and a track record of achievement.
-5-8+ years of experience working with quantitative analysis.
-BA/BS degree (MS or PhD preferred) in Computer Science, Electrical Engineering, Statistics, Operations Research or a related field.
-Extensive experience building web applications and knowledge of web technologies, and work experience on large scale machine learning, user behavior analysis, and text mining in leading internet companies, as well as user modeling, data visualization, and data infrastructure.
-2+ years experience with dimensional data modeling, schema design in data warehouses.
-2+ years in custom/structured ETL design, implementation and maintenance.
-Experience with a Map Reduce/MPP system and writing abstract, reusable code components.
-Strong understanding of statistical modeling, machine learning, excel and data mining concepts.
-Proven team leadership and relationship building skills.
-Proficiency in scripting languages/programs like Python, Java, SQL, BigQuery, Oracle, Hive, etc.
-Familiarity with machine learning/statistical modeling tools (R, SciKitLearn, SparkML, Tensorflow, etc.)
-Experience building web applications and knowledge of web technologies, and extensive experience with user modeling
-Excellent communication and analysis presentation skills.

R17-10717