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Data Scientist, Commercial Strategy
Sony Pictures
Culver City, CA, United States
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Data Scientist, Commercial Strategy - Home Entertainment
Sony Pictures Home Entertainment (SPHE) is a Sony Pictures Entertainment (SPE) company. Sony Pictures Entertainment (SPE) is a subsidiary of Sony Entertainment Inc., a subsidiary of Tokyo-based Sony Corporation. SPE’s global operations encompass motion picture production, acquisition and distribution; television production, acquisition and distribution; television networks; digital content creation and distribution; operation of studio facilities; and development of new entertainment products, services and technologies. For additional information, go to http://www.sonypictures.com
In the role of Data Scientist for Sony Pictures Home Entertainment, you must possess a passion for pioneering an empirical and data-driven culture. The candidate must have a proven track record of extracting meaningful business insights from data. Reporting to SVP, Analytics & Business Insights, this role will provide guidance for Home Entertainment in data-driven decision making and use analytics to drive the growth and success of the business. Position based in Culver City.
Responsibilities:
• Execute the data vision strategy and goals ensuring those are consistent with the Division’s business requirements.
• Can ingest, connect and cleanse of large data sets (big data)
• As part of the Data Science team, help develop analytical capabilities and tools to enable data query and respond to business requests.
• Contribute and provide thought leadership to the business and key stakeholders.
• Using big data to independently generate consumer insights and manage genre based price elasticity curves and other routine analyses like affinity analysis and clusters.
• Develop new approaches to understand the consumer and solve complex business problems such as optimizing product performance, gross profit and adoption.
• Research new ways for modeling and predicting end-user behavior. Help design experiments to answer targeted questions
• Generate actionable insights using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.
• Communicate statistical modeling results into measures of business impact
• Comfort with managing ingestion and cleansing of large unstructured data and developing analytical capability to query the data and respond to user requests using a wide range of technologies.
• Comfort with experimenting with various tools and technologies with the end goal of creating innovative data driven insights at a quick pace.
• Understand in depth, design and inform statistically valid tests with test and control groups and to manage the process of identifying testing strategies
• Comfort using extensive and often disjointed and unstructured datasets to independently generate consumer insights with the intent of creating manageable analytical processes
Qualifications:
• Experience with A/B testing and test and control test designs
• Must have an in depth knowledge of advanced statistical techniques including regressions, cluster analysis test design, variable reduction, non-parametric tests and forecasting methodologies.
• Experience with big data and standardizing/ appending variables across disparate data sets
• Working knowledge of external data sources especially as related to the consumer.
• Highly analytical, results oriented, have superior organizational skills with a strong attention to details and deadlines and be able to effectively manage multiple projects/assignments simultaneously.
• Curious about data and problem solving: intrinsic ability to look at data and identify patterns, problems, or analysis opportunities
• BA/BS degree required with technical focus (e.g. mathematics, computer science, physics)
• MS or PhD degree preferred
• Minimum of 2 years of progressively complex related experience
• Experience with R and SQL and preferably a scripting language (Perl, Python)
• Comfortably interact with various members of the organization
• Business experience in media industry preferred, but not required
• Collaborative – a team player who is able to thrive as an individual but also enjoy working with partners within the analytics group but also cross department
*Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics.
• Sony Pictures - CA - Culver City Area & Studios